Topic: "long-short-term-memory"
taufeeque9/HumanFallDetection
Real-time, Multi-person & Multi-camera Fall Detector in Python
Language: Python - Size: 512 MB - Last synced at: 4 days ago - Pushed at: 8 months ago - Stars: 285 - Forks: 65
Rajat-dhyani/Stock-Price-Predictor
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Language: HTML - Size: 2.6 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 273 - Forks: 159
tiberiu44/TTS-Cube
End-2-end speech synthesis with recurrent neural networks
Language: Python - Size: 753 MB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 226 - Forks: 44
gionanide/Speech_Signal_Processing_and_Classification
Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].
Language: Python - Size: 827 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 220 - Forks: 62
LahiruJayasinghe/RUL-Net
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
Language: Python - Size: 29.5 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 210 - Forks: 70
adobe/stringlifier
Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.
Language: Python - Size: 7.35 MB - Last synced at: 10 days ago - Pushed at: 17 days ago - Stars: 167 - Forks: 28
FaustoNisida/Chatbot-Long-Short-Term-Memory
GPT-3 Chatbot with Long and Short Term Memory and advanced logic built in javascript with openai API - short and long memory, KYC, embeddings, openai, database, flexible, gpt-3.5-turbo, react
Language: JavaScript - Size: 235 KB - Last synced at: 20 days ago - Pushed at: 5 months ago - Stars: 165 - Forks: 35
zhuofupan/Tensorflow-Deep-Neural-Networks
用Tensorflow实现的深度神经网络。
Language: Python - Size: 161 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 128 - Forks: 56
Zeeshanahmad4/chatgpt-knowledge-base-chatbot
An advanced chatbot that utilizes your own data to provide intelligent ChatGPT-style conversations using gpt-3.5-turbo and Ada for advanced embedding, as well as custom indexes and knowledgebase for a seamless user experience.
Language: TypeScript - Size: 41 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 125 - Forks: 22
guangyizhangbci/EEG_Riemannian
IEEE Transactions on Emerging Topics in Computational Intelligence
Language: Python - Size: 1.56 MB - Last synced at: 25 days ago - Pushed at: about 2 months ago - Stars: 67 - Forks: 12
yxtay/char-rnn-text-generation
Character Embeddings Recurrent Neural Network Text Generation Models
Language: Python - Size: 4.81 MB - Last synced at: 29 days ago - Pushed at: about 6 years ago - Stars: 60 - Forks: 23
sankalpjain99/Automatic-Essay-Scoring
Created a web app that can automatically score essays. The grading model was trained using HP Essays Dataset from Kaggle. Used Long Short Term Memory (LSTM) network and machine learning algorithms to train model. WebApp was created using Flask framework.
Language: Jupyter Notebook - Size: 47.9 MB - Last synced at: 8 days ago - Pushed at: almost 5 years ago - Stars: 59 - Forks: 21
Sk70249/Wind-Energy-Analysis-and-Forecast-using-Deep-Learning-LSTM
A Deep Learning model that predict forecast the power generated by wind turbine in a Wind Energy Power Plant using LSTM (Long Short Term Memory) i.e modified recurrent neural network.
Language: Jupyter Notebook - Size: 3.41 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 51 - Forks: 15
thenomaniqbal/Traffic-flow-prediction
Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using memory cells. This project includes understanding and implementing LSTM for traffic flow prediction along with the introduction of traffic flow prediction, Literature review, methodology, etc.
Language: Jupyter Notebook - Size: 7.31 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 31 - Forks: 5
mithi/deep-blueberry
If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
Size: 690 KB - Last synced at: 23 days ago - Pushed at: almost 5 years ago - Stars: 26 - Forks: 5
skanderhamdi/attention_cnn_lstm_covid_mel_spectrogram
Attention-based Hybrid CNN-LSTM and Spectral Data Augmentation for COVID-19 Diagnosis from Cough Sound
Language: Python - Size: 49.8 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 24 - Forks: 4
LeDat98/JSL_App_Webapp
A video call application that recognizes gestures (signal language) and converts them into text and sound.
Language: JavaScript - Size: 40.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 18 - Forks: 2
ikmb/amino_acid_encoding_deep_learning_applications
The repository contains all the code for the paper amino acid encoding using deep learning application
Language: Python - Size: 28.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 18 - Forks: 5
albertusk95/intention-to-code-lstm
Source Code Generation Based On User Intention Using LSTM Networks
Language: Python - Size: 2.17 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 17 - Forks: 3
khooinguyeen/Sign-Language-Translation
Sign language translation model for the app Look & Tell https://github.com/khooinguyeen/LookandTell-OfficialApp
Size: 317 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 16 - Forks: 3
aorabdel/Udacity-Deep-Learning-Nanodegree
My Projects Submission to Udacity's Deep Learning Nanodegree Program
Language: HTML - Size: 16.5 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 16 - Forks: 12
theerfan/Maqenta
Generating music using quantum machine learning models. (QuGAN and QLSTM)
Language: TeX - Size: 50.5 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 4
MohamedSebaie/Coursera--Deep_Learning_Specialization--By_Anderw_Ng
Coursera (Deep_Learning_Specialization) By Andrew Ng and offered by deeplearning.ai.**Each of the below Courses Contains Notes, programming assignments, and quizzes.1- Neural Networks and Deep Learning;2- Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization; 3- Structuring Machine Learning Projects; 4- Convolutional Neural Networks;5- Sequence Models.
Language: Jupyter Notebook - Size: 112 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 10
AFAgarap/ecommerce-reviews-analysis
Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN)
Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 15 - Forks: 11
vinayakumarr/CNN-RNN
Image classification using CNN
Language: Jupyter Notebook - Size: 813 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 7
zhangjc714/TE
本科毕业设计 - 基于数据解析的化工生产过程诊断
Language: Python - Size: 43.2 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 12 - Forks: 1
catcd/MASS
Large-scale Exploration of Neural Relation Classification Architectures
Language: Python - Size: 2.12 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 1
Khayoon/Theres-A-Generative-AI-For-That
generative AI models
Size: 527 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 1
catcd/LSTM-CNN-SUD
Hybrid biLSTM and CNN architecture for Sentence Unit Detection
Language: Python - Size: 21.4 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 6
FPT-ThaiTuan/Detect-Yoga-Poses-And-Correction-In-Real-Time-Using-Machine-Learning-Algorithms
Compare SVM mode yoga movement classification accuracy with Linear kernel, Polynomial kernel, RBF (Radial Basis Function) kernel, LSTM with accuracy up to 98%. In addition, it also supports adjusting the practitioner's movements according to standard movements.
Language: Python - Size: 221 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 4
oem/bitcoin-prediction
A simple LSTM network to predict bitcoin closing prices
Language: Jupyter Notebook - Size: 5.6 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 1
georgezoto/RNN-LSTM-NLP-Sequence-Models
Sequence Models repository for all projects and programming assignments of Course 5 of 5 of the Deep Learning Specialization offered on Coursera and taught by Andrew Ng, covering topics such as Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), Long Short Term Memory (LSTM), Natural Language Processing, Word Embeddings and Attention Model.
Language: Jupyter Notebook - Size: 82.7 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 4
karami-mehdi/CyberattackDetection
This project focuses on detecting cyberattacks using advanced analytical techniques and a deep learning model. It leverages structured datasets and explores the use of algorithms for detecting anomalies or malicious behavior in network traffic or system logs.
Language: Jupyter Notebook - Size: 405 KB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 8 - Forks: 0
TATU-hacker/CNN-LSTM-GRU
Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models
Language: Jupyter Notebook - Size: 5.99 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 8 - Forks: 1
KaushikPalani/Classification_of_bearing_faults_using_ML
This project compares the accuracy of different machine learning models in the identification and classification of bearing faults from time-series vibration data.
Language: Jupyter Notebook - Size: 29.3 MB - Last synced at: 9 months ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 2
Abhradipta/Fake-News-Detection
Fake News Detection Using Recurrent Neural Networks (RNNs) & Long Short Term Memory (LSTM).
Language: Jupyter Notebook - Size: 41.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 7
Faluminus/Sec-PRED
Protein secondary structure prediction from amino acid sequence using machine learning
Language: Python - Size: 200 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 0
lbasek/named-entity-recognition
Named Entity Recognition - Python - Keras
Language: Python - Size: 161 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 4
L-A-Sandhu/Physics-Informed-Vectors-For-Wind-Speed-Prediction
Official Implementation of Integrating Physics-Informed Vectors for Improved Wind Speed Forecasting with Neural Networks
Language: Python - Size: 301 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 6 - Forks: 0
gionanide/OpiRec
Opinion recommendation is a task, recently introduced, for consistently generating a text review and a rating score that a certain user would give to a certain product, which has never seen before. Input information driving recommendation is text reviews and ratings for this product contributed by other users and text reviews submitted by the user under consideration for other products. The aforementioned task faces the same problems emerging in text generation using neural networks, namely repetition and specificity. In this paper, it is experi- mentally demonstrated that by employing coverage loss during training, repetition is reduced without adding extra parameters. Furthermore, the amount of repetition in the generated text review is defined as a measure of the captured information. Such measure is used to improve rating score prediction significantly during testing.
Language: Python - Size: 5.74 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0
CYBERDEVILZ/Stock-Market-Prediction
An attempt to predict the Stock Market Price using Long Short Term memory and plot its chart. By tweaking different hyper parameters, we get different trained models. The aim of this project is to identify the relation hidden in these hyper parameters.
Language: PureBasic - Size: 220 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 4
sdw95927/Tang_Poetry_generator_by_LSTM
Train a Long-Short Term Memory neural network to write the Poetry of Tang Dynasty
Language: Jupyter Notebook - Size: 4.88 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 0
ifrunistuttgart/RL_Integrated-Updraft-Exploitation
This repository includes a reinforcement learning framework for end-to-end type integrated thermal updraft localization and exploitation.
Language: Python - Size: 31 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 2
salehsargolzaee/LSTM-for-Sentiment-Analysis
In this notebook, I implemented a recurrent neural network (Long short-term memory) using PyTorch that performs sentiment analysis.
Language: Jupyter Notebook - Size: 376 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0
rabieifk/UberDemand_Recurrent_Neural_Network
Demand prediction for Uber based on Multivariate Time Series Forecasting with LSTM (long short-term memory)
Language: Python - Size: 346 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1
pskrunner14/lstm-from-scratch
LSTM Network from Scratch in C++
Language: C++ - Size: 121 KB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 2
victor-iyi/lstm-sentiment-analysis
LSTM Sentiment Analysis
Language: Jupyter Notebook - Size: 875 KB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 5 - Forks: 0
rounayak/Text-categorization-using-neural-word-embeddings
This is a practical implementation implementing neural networks on top of fasttext as well as word2vec word embeddings.
Language: Python - Size: 1.15 MB - Last synced at: 5 months ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 0
MDalamin5/Agentic-Ai-Journey-with-HuggingFace-and-LangChain-Academy-Course
A comprehensive implementation of the HuggingFace and Langchain-academy Agentic AI course. Explore LLM-powered agents using transformers-agents, custom tools, multi-step reasoning, and real-world deployment workflows across Hugging Face's agent framework and inference APIs.
Language: Jupyter Notebook - Size: 6.55 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 4 - Forks: 2
Bhazantri/IMDB_LSTM
LSTM-based sentiment analysis model for predicting the sentiment of IMDb movie reviews.
Language: Python - Size: 5.86 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0
faisalghifari17/stock-price-prediction-using-wavelet-denoising-and-neural-network
Predicting future stock price using wavelet denoising and neural network (Long-Short Term Memory)
Language: Jupyter Notebook - Size: 313 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
aadimangla/IMDB-Movie-Reviews-Sentiment-Analysis
It analyses the movie review entered by a user for any specific movie and analyses what is the sentiment of the review. It helps the companies rate the movie and understand crowd sentiment regarding it. Sentiment analysis is a natural language processing problem where text is understood and the underlying intent is predicted.
Language: Jupyter Notebook - Size: 63.1 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0
AdriandLiu/Neural-Decoding-Project
Hippocampus spike activity related to the depression-related behaviors after stress. Propose the stress determinator
Language: MATLAB - Size: 248 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 3
Vruddhi18/LSTM_Next-word-predictor
The LSTM Next-Word Predictor uses deep learning with LSTM networks to accurately predict the next word based on user input.
Language: Jupyter Notebook - Size: 445 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 3 - Forks: 0
PasanBhanu/time-series-forcasting-with-facebook-prophet-lstm-hybrid-model
Time series forecasting-based Kubernetes autoscaling using Facebook Prophet and Long Short-Term Memory
Language: Jupyter Notebook - Size: 4.75 MB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0
harshita2234/Potato-Prices-Prediction
Project aims to forecast potato prices in India using LSTM, KNN, and Random Forest Regression, integrating historical data on prices, regional stats, and rainfall patterns. Targeting agricultural stakeholders for informed decision-making.
Language: Python - Size: 862 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0
shahriar-rahman/Google-Stock-Market-Prediction-using-LSTM
Integrating Long-Short Term Memory to predict the Google Stock Market Price
Language: Python - Size: 1.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1
vrup0408/Fake-News-Detection
Project Title itself says that it will predict the news whether it is true or false news from our given datasets and also real-time data using natural language processing, LSTM and deep learning and also by training and testing the deep learning model.
Language: Jupyter Notebook - Size: 24.9 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 0
Mohamed-derbeli/Natural-Language-Processing-in-TensorFlow
This repository includes course assignments of Natural Language Processing in TensorFlow on Coursera by DeepLearning.AI
Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0
jgbrasier/protein-classification
Deep sequence models for protein classification
Language: Jupyter Notebook - Size: 4.37 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 3
neemiasbsilva/lstm-pollution-china
Using long short term memory networks to analysis the pollution of Beijing, China.
Language: Jupyter Notebook - Size: 370 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1
badass-techie/Musically
AI that makes music. The future is now 😁
Language: Python - Size: 57.3 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1
SSQ/Coursera-Ng-Sequence-Models
Language: HTML - Size: 31.7 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 8
TrainingByPackt/Keras-2.X-Projects-eLearning
Leverage the power of Keras to build and train state-of-the-art deep learning models
Language: Jupyter Notebook - Size: 187 KB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 7
ycchen1989/Quantum_Long_Short_Term_Memory
Implementation of Quantum Long Short-term Memory (QLSTM)
Language: Python - Size: 0 Bytes - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 2 - Forks: 1
RezaSaadatyar/Deep-Learning-in-python
Deep Learning in python
Language: Jupyter Notebook - Size: 25.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0
taleblou/LSTM-Price-Prediction
This repository contains an implementation of the LSTM (Long Short-Term Memory) model for predicting financial asset prices, including Open, High, Low, and Close prices. It includes code for price prediction of assets like Bitcoin, Gold, EUR/USD, and the S&P 500 index.
Language: Python - Size: 5.68 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0
erfanresume/TimeSeries-Forecasting-for-daily-COVID-19-Cases-using-LSTMs
In this project I have built a model to predict daily COVID-19 cases using LSTM (Long Short-Term Memory)
Language: Jupyter Notebook - Size: 903 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0
MFHChehade/RL-vs-MPC-for-Battery-Management
We compare model-free and model-based methods in the context of battery control.
Language: Python - Size: 3.36 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0
Parvezkhan0/Tesla-Stock-Forecasting-Using-LTSM
This repository features notebooks and datasets for predicting Tesla (TSLA) stock prices using LSTM models. Explore historical data, forecast trends, and gain insights into TSLA's market movements.
Language: Jupyter Notebook - Size: 283 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 1
pkalivas/Radiate.NET
Common machine learning algorithm implementations
Language: C# - Size: 92.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
kernel-loophole/Natrual-Language-Process 📦
Language process with Python
Size: 97.3 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
Faisal-AlDhuwayhi/TV-Script-Generation
Generate your own Seinfeld TV scripts using Recurrent Neural Networks (RNNs)
Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
carlosgorlongaiatto/NNDL_Project
Music Genre Classification with Convolutional Recurrent Neural Networks: An Analysis on the FMA Dataset.
Language: Jupyter Notebook - Size: 33.6 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 2
alexandrandom/BTC-LSTM-PRICE-PREDICTION-NLP
Bitcoin Price Prediction model - LSTM | Multivariable (Price&Polarity) Time Series Forecasting with NLP for Twitter Sentiments aka my Master's Thesis
Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
ifrunistuttgart/RL_CrossCountrySoaring
This repository includes a reinforcement learning framework for solving the tactical decision-making problem subject to cross-country soaring (by the example of the competition task of GPS Triangle racing).
Language: Python - Size: 37.7 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
seansom/stock-direction-forecasting
An undergraduate capstone project focusing on researching Philippine stock direction forecasting through LSTM neural networks utilizing technical, fundamental, and news sentiment stock data
Language: Python - Size: 26.1 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 3
PavanParchuri/Stock-Market-Prediction-LSTM
⚡ STOCK MARKET PREDICTION is a Deep Learning based web application using LSTM model and that is used to predict the future stock prices based on 10 years historical data
Language: Python - Size: 2.64 MB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 2
abhinav80066/Stock-Price-Predictor
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
ErikaPabon/Final-Project-GUI
GUI using Java
Language: Java - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
sahebsinghh/LGMVIP-DataScience
Data Science Intern @LetsGrowMore Foundation LGMVIP October-21
Language: Jupyter Notebook - Size: 845 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
ahmedshahriar/Sentiment-Analysis
Sentiment Analysis Projects
Language: HTML - Size: 17.3 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1
being-aerys/Sequence_Models
Some personal Deep Learning Projects
Language: Jupyter Notebook - Size: 87.3 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
chasebk/code_OCRO_MLNN
Efficient Time-series Forecasting using Neural Network and Opposition-based Coral Reefs Optimization
Language: Python - Size: 25.7 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1
forecast-lab/SSAE_tf2
Implementations of three forecasting models: SSAE, S2S1 and S2S2 in Tensorflow2
Language: Python - Size: 18.6 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 4
aadimangla/Custom-Trained-Recurrent-Neural-Network
Using high-level frameworks like Keras, TensorFlow or PyTorch allows us to build very complex models quickly. However, it is worth taking the time to look inside and understand underlying concepts. Not so long ago I published an article, explaining — in a simple way — how neural nets work. However, it was a highly theoretical post, dedicated primarily to math, which is the source of the NN superpower. From the beginning, I was planning to follow-up on this topic in a more practical way. This time we will try to utilize our knowledge and build a fully operational neural network using only NumPy.
Language: Jupyter Notebook - Size: 441 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
Data-Science-Community-SRM/Handwriting-Generation
Using Long Short-term Memory recurrent neural networks to generate highly realistic cursive handwriting in a wide variety of styles.
Language: Python - Size: 183 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 6
eddinho/pystock
A simple script using an LSTM (long short term memory) neural net that predicts the closing price of a stock.
Language: Python - Size: 210 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 2
sharath/sequence-learning
Sequence learning models for time series data
Language: Jupyter Notebook - Size: 33 MB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0
Nestak2/predict_light_curve_ramp
Prediction of a star light curve behaviour with a neural network
Language: Python - Size: 10.9 MB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0
jerome78b/bitget-trading-bot
🤖 Bot de trading Bitget – Python | RSI + Bollinger, TP/SL, TPP, Telegram Bitget trading bot – RSI + Bollinger, TP/SL, Telegram alerts
Language: Python - Size: 324 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0
recallrai/sdk-python
Official Python SDK for RecallrAI – a revolutionary contextual memory system that enables AI assistants to form meaningful connections between conversations, just like human memory.
Language: Python - Size: 66.4 KB - Last synced at: 18 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1
ChristianRCanlas/ChristianRCanlas.github.io
e-Portfolio showcasing my personal projects.
Language: Python - Size: 279 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
chuksoo/Deep-Learning-Specialization
This repository contains notes, slides, labs, assignments and projects for the Deep Learning Specialization by DeepLearning.AI and Coursera.
Language: Jupyter Notebook - Size: 224 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
Ricardo711/Machine-Learning-
This is a repository of AI projects that i did during my master's degree in computer science.
Language: Jupyter Notebook - Size: 4.14 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
nthaihoc/personal-projects
This is a list of personal projects
Language: Python - Size: 152 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
shaheennabi/Natural-Language-Processing-Practices-and-Mini-Projects
🎇 NLP Experiments 🎆 A hands-on collection of NLP experiments 💬, featuring models like RNN, LSTM, and Attention Mechanism. 🚀 Explore applications like text classification, sentiment analysis, and language generation 🌍. Continuously updated with new algorithms and research implementations! 🔥
Size: 8.79 KB - Last synced at: about 5 hours ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
jmarihawkins/Predicting_Stock_Prices
The purpose of this project is to predict stock prices using historical data and financial indicators with LSTM networks. It involves data extraction, cleaning, model training, and an interactive app for predictions. This tool aids financial analysts, portfolio managers, and investors in making informed decisions.
Language: Jupyter Notebook - Size: 66.6 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 1
kajallochab/ShakespearAI
Generating Shakespearean Text with LSTM Neural Networks: This project uses LSTM networks to generate text in the style of William Shakespeare. It explores the intersection of literature and AI by mimicking the rich linguistic nuances and poetic depth of Shakespearean prose and poetry.
Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
Rohit8y/Financial-Time-Series
Developing a PyTorch-based solution for predicting future values in financial time series data, leveraging RNNs and GRUs as part of the M3 competition for time series forecasting.
Language: Python - Size: 152 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
