AIZEN527/AITrader-Crypto

# AITrader-CryptoWelcome to AITrader-Crypto, your go-to bot for real-time crypto signals on Windows. This tool helps you make informed trading decisions with ease. 🐙🚀

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GGasset/CudaNeatNetwork

Easy to use, Neural Network framework made from scratch in CUDA/C++, featuring LSTMs, able to train using Supervised learning and Evolution methods

Language: Cuda - Size: 691 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

yasarsultan/stockAnalysisApp

This application offers a suite of tools designed to empower investors with insightful data and predictive analytics for making informed decisions.

Language: Python - Size: 612 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

miltiadiss/CEID_NE577-5G-Architectures-Technologies-Applications-and-Key-Performance-Indexes

This project involves predicting the downlink bitrate of mobile devices in 5G networks using machine learning (XGBoost Regressor) and deep learning (LSTM model). It includes data preprocessing, training and evaluation of the models, applying explainable AI (XAI) techniques such as SHAP, and optimizing feature selection based on XAI insights.

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SURESHBEEKHANI/Recurrent_Neural_Network-

RNNs and LSTMs are both used for sequential data. RNNs are trained with backpropagation through time but can face issues with vanishing gradients. LSTMs, with their gated architecture, are designed to address these issues and handle long-term dependencies effectively.

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giladodinak/mlinc

Machine Learning from scratch in C

Language: C - Size: 5.55 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 1

thomasvrussell/snail

SuperNova Artificial Inference by Lstm neural networks (SNAIL)

Language: Python - Size: 66.8 MB - Last synced at: 24 days ago - Pushed at: about 2 months ago - Stars: 8 - Forks: 1

ignYoqzii/StarZFinance

StarZ Finance is an advanced, all-in-one financial application designed to empower users with AI-driven market predictions and personalized tools to manage their finances. StarZ Finance aims to deliver a seamless user-friendly interface combined with cutting-edge AI and mathematical modeling.

Language: C# - Size: 79.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

bzantium/EA-LSTM

EA-LSTM: Evolutionary attention-based LSTM for time series prediction

Language: Python - Size: 681 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 37 - Forks: 5

sumanthgubbala/Traffic_prediction_and_ManagemnetSystem

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

rgdavies92/tensorflow-spam

✉️ 🐖 Spam email identification using NLP and a RNN with TensorFlow

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IBM/MAX-Weather-Forecaster

Predict hourly weather features given historical data for a specific location

Language: Python - Size: 6.33 MB - Last synced at: 20 days ago - Pushed at: about 2 months ago - Stars: 72 - Forks: 33

mounalab/LSTM-RNN-VAD

Voice Activity Detection LSTM-RNN learning model

Language: Python - Size: 27.3 KB - Last synced at: about 2 months ago - Pushed at: about 7 years ago - Stars: 50 - Forks: 22

heisendelta/optical-flow-competition Fork of ailorg/dl_lecture_competition_pub

Predicting optical flow from the DSEC event camera dataset. Placed 8th of 110+ in competition.

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justinbt1/Multimodal-Document-Classification

MSc project investigating multi-modal fusion approaches to combining textual and visual features for multi-page classification of documents within the OGA National Data Repository (NDR).

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cutupdev/Barclays-PLC-stock-price-prediction

This is Barclays PLC stock price prediction project using LSTM in Tensorflow Keras.

Language: Python - Size: 1.72 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

gabrielspmoreira/chameleon_recsys

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Language: Python - Size: 715 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 276 - Forks: 81

Jatin-Mehra119/Micro-Gas-Turbine-Electrical-Energy-Prediction-Modeling

This project uses LSTM neural networks to predict the electricity output of gas turbines based on historical operational data. By leveraging deep learning techniques, it optimizes energy generation, improves prediction accuracy, and reduces reliance on manual monitoring, offering an efficient alternative to traditional methods.

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mrktsm/spam-email-recognizer

Long Short-Term Memory (LSTM) network trained to classify emails as spam or non-spam. It processes email content to make accurate predictions and can be integrated into projects for efficient spam detection and email management.

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ammarlodhi255/image-captioning-system-to-assist-the-blind

An image captioning system that is able to predict and speak out a caption of an image taken by visually impaired.

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virajbhutada/google-stock-price-forecasting-lstm

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

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paggoo/javelin-perf

XAI-supported motion improvement hints with the aim of increasing javelin-throw distance @HCAI Augsburg University

Language: Python - Size: 49.4 MB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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.

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sreeja-yalamaddi/Predictive-Maintenance-for-IoT-Devices

LSTM-based forecasting model for predictive maintenance in manufacturing settings, analyzing time series data from IoT sensors with Python and Keras

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MichaelMartinTech/NASA_Project_2_Wildfire_Smoke_ML_Deep_Learning_Model_Prediction_2024

Designed, developed, and implemented Ensemble and Deep Learning Machine Learning Algorithms for Wildfire Smoke Prediction using NASA Big Data

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aaaastark/hybrid-model-with-cnn-lstm-python

Hybrid Model with CNN and LSTM for VMD dataset using Python

Size: 14.4 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

chdl17/Comment-Toxicity

Project is all about build a deep learning model to identify toxic comments using LSTM

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sakshikakde/interpretability_of_lstm

A repository to study the interpretability of time series networks(LSTM)

Language: Python - Size: 4.93 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

Tanujakoppolu/TanujaKoppolu-Voice-emotion-detector

HCL-SATHYABAMA-MINI-PROJECT

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shubham-kothari/Stock-Price-Prediction-TSLA-using-LSTM

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Nitin-Sagar-B/flowscope

Enhancing Decision Making and Prediction Optimization using the HybridFlow Forecast Model

Language: Python - Size: 26.4 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

ShubhaMahobia/LSTM-Hamlet

The LSTM Next Word Prediction project trains a model on Hamlet to predict the next word in a sequence. After preprocessing the text, an LSTM network learns patterns in the language. The trained model can then generate text by predicting the next word in a given sequence, with its accuracy evaluated to ensure it effectively models the language.

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diest/TimeSeries_SOM_LSTM

This is an implementation of local learning for time series forecasting using self-organizing maps (SOMs) for determining time-window similarity and specialized long short-term memory recurrent neural networks (LSTM-RNNs) for prediction.

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sdivyanshu90/DeepLearning.AI-Deep-Learning-Specialization-By-Andrew-Ng

This repository contains my coursework, assignments, and projects from the Deep Learning Specialization by Andrew Ng on Coursera. It includes five courses covering neural networks, improving deep neural networks, structuring machine learning projects, convolutional neural networks, and sequence models.

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Susheel-1999/LSTM-next_word_prediction_using_pytorch

Predict the next word using Long short-term memory

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alessiococchieri/toxic-comment-classification

This repo contains code for toxic comment classification using deep learning models based on recurrent neural networks and transformers like BERT. The goal is to detect and classify toxic comments in online conversations using Jigsaw's Toxic Comment Classification dataset.

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kunalG98/Bitcoin-price-Prediction-using-LSTM-master

This python script predicts the price of bitcoin using LSTM neural network

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Ronak-59/Stock-Prediction 📦

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

Language: JavaScript - Size: 25 MB - Last synced at: 11 months ago - Pushed at: over 5 years ago - Stars: 206 - Forks: 90

dgovor/Sign-Language-Translator

Neural Network that is able to translate any sign language into text.

Language: Python - Size: 74.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 26 - Forks: 8

JennyTan5522/Stock-Prediction-Using-LSTM-and-SVR

Stock Prediction & Forecasting Using Machine Learning (SVR And LSTM)

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iSiddharth20/Generative-AI-Based-Spatio-Temporal-Fusion

A Novel Approach leveraging Auto-Encoders, LSTM Networks and Maximum Entropy Principle for Video Super-Resolution (Upscaling and Frame Interpolation)

Language: Python - Size: 22.7 MB - Last synced at: 11 months ago - Pushed at: 12 months ago - Stars: 12 - Forks: 3

chandan8kumar/Automated-Image-Caption-Generator

Caption Generation is a challenging artificial intelligence problem where a textual description must be generated for a given photograph.

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Ayushi96/sentiment_analysis_LSTM

Project on Sentiment Analysis that uses LSTM to predict if a movie review is positive or negative.

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Alanghj/Stock-market-analysis

Stock Market Analysis using LSTM

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pelinkeskin/Personal_projects

Personal projects

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shwan1023/DTW-LSTM

A fast, effective and accurate algorithm for univariate time series forecasting

Language: Python - Size: 61.7 MB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

PialGhosh2233/Simple-Bangla-Chatbot-using-Neural-Network

A bangla chatbot using bidirectional lstm

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JesseLee62/chatbot

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zahramajd/traffic-light-control

Traffic Light Control in Non-stationary Environments based on Multi Agent Machine Learning

Language: Python - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

PrasunDatta/IEEE-Signal-Processing-Cup-2020_Unsupervied-Abnormality-Detection

In this research work, unsupervised abnormality has been detected by using intelligent and heterogeneous autonomous systems.

Language: Python - Size: 6.41 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

20481A5450/WaterQuality-MLApp

This project aims to develop a machine learning application for water quality analysis.

Language: CSS - Size: 1.82 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

akhilchibber/Weather-Prediction

Deep Learning based Weather Prediction

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sahilnanda1995/CryptoAITrader

This repo contains backtesting scripts for various models(mainly LSTM) using different type of datasets to predict bitcoin price. 
Upto 98.7% accuracy, but let me tell you it’s not enough to generate profits on a regular basis ;)

Language: Python - Size: 31.2 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 3

LaurentVeyssier/Siamese-Network-for-predicting-duplicate-questions

Use Trax Siamese deep Neural LSTM Network to predict pair of similar question (duplicates)

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enesozi/allennlp-name-language-prediction

This repository aims at using allennlp framework to predict the language of a name.

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tn16jv/Stock-Price-Prediction

Python neural network for predicting future prices of stocks.

Language: Python - Size: 249 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

michaeljneely/sparse-attention-explanation

Analysis of 'Attention is not Explanation' performed for the University of Amsterdam's Fairness, Accountability, Confidentiality and Transparency in AI Course Assignment, January 2020

Language: Python - Size: 48.3 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 0

sidf3ar/Image-Caption-Generator-Flickr8k

A deep learning model to generate captions for images. Flickr 8K dataset is used for training of this model. This project uses a CNN model for feature extraction. These features are converted to image captions by RNN.

Language: Python - Size: 308 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

kkmk11/NETWORK-INTRUSION-DETECTION-SYSTEM

This is a software application to detect network intrusion by monitoring a network or system for malicious activity and predicts whether it is Normal or Abnormal(attacked with intrusion classes like DOS/PROBE/R2L/U2R).

Language: JavaScript - Size: 11.4 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 9 - Forks: 1

sablokgaurav/snp_variant_estimation_lstm_neural_

a genomeflow analysis for the snp variant analysis from the genome requencing to trait selection for the machine learning. Given a genome and the resequencing reads, it estimates the snps and filters the vcf snp for the coverage estimated and tags those snps for a convolutional network and a sandwich BiLSTM neural network for the prediction.

Language: Shell - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Alex1iv/Power_consumption_prediction

Time series forecasting with TensorFlow

Language: Jupyter Notebook - Size: 26 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

theanh97/Forecasting-Stock-Prices-With-Deep-Learning

A project that involves using Deep Learning to forecast stock prices.

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tararelan/COMP4471-Final-Project-2022

Deep Learning and Sign Language Interpretation

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YeakubSadlil/Ensemble_backtesting_stock_market

:chart_with_upwards_trend: 𝗔𝗻 𝗲𝗻𝘀𝗲𝗺𝗯𝗹𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗳𝗼𝗿 𝗯𝗮𝗰𝗸𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝘀𝘁𝗼𝗰𝗸 𝗽𝗿𝗶𝗰𝗲 𝗰𝗼𝗺𝗯𝗶𝗻𝗶𝗻𝗴 𝗕𝗼𝗹𝗹𝗶𝗻𝗴𝗲𝗿 𝗕𝗮𝗻𝗱𝘀 𝗮𝗻𝗱 𝗟𝗦𝗧𝗠 𝗺𝗼𝗱𝗲𝗹𝘀

Language: Jupyter Notebook - Size: 6.75 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

panashematsaudza/Time-Series-Forecasting-with-LSTM

Time Series Forecasting with LSTMs for Daily Coronavirus Cases

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jyoti0225/Air-Pollution-Forecasting

Time Series Analysis of Air Pollutants(PM2.5) using LSTM model

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mitrasai/StockSentimentAnalysis-LSTM-Predictions

This is my graduation college project for the course of Artificial Intelligence.

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TrilokiDA/Speaker-Identification-from-Voice

Language: Jupyter Notebook - Size: 398 KB - Last synced at: 4 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

ais-climber/notakto-player

⏳ A CNN (and later LSTM) based player designed to learn winning strategies for Thane Plambeck's Notakto.

Language: Python - Size: 102 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

maximkiesel1/Stock_Market_Prediction

Stock Market Prediction With <5% MAPE Score

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0xPasho/code-summarization-neural-network-poc

Neural Network based on the Seq2Seq from Code5T to analyze code and give you a summary in plain English(natural language). This is a POC for codesapiens.ai

Language: Python - Size: 1.03 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mmaks74/How_to_start_with_ML_project

The notebook to my article in LinkedIn

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TRAN-Gia-Quoc-Bao/Project-Automotive-Control-using-Surface-Electromyography

My work during the research internship "Automotive Control using Surface Electromyography" at The University of Tokyo, Jun.-Sep. 2020

Language: MATLAB - Size: 110 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 0

fazirta/hoax-detector

Hoax detection program utilizing Long Short-Term Memory (LSTM) networks for text classification, providing comprehensive data processing, preprocessing, LSTM modeling, model evaluation, visualization, testing with custom input, and model saving and loading capabilities.

Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ajithcodesit/lstm_copy_task

LSTM copy task in which a pattern is stored in memory and reproduced again

Language: Python - Size: 33.3 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 1

north0n-FI/Predicting-Nordea-stock-price-using-an-LSTM-neural-network-

Using an 80/20 split in the historical data daily closing prices where predicted using a LSTM network based on data observed in the past 30 days for each prediction

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PexoDev/sc2eval

LSTM-based machine learning solution for evaluation of strategic position in Starcraft II.

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pankush9096/Stock-Prediction-using-LSTM

I will be considering the google stocks data and will create a LSTM network for prediction.

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ellapav/recurrent-neural-nets

Long-short term memory (LSTM) model applied to the IMDB dataset

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muhammadravi251001/command-detection

Code for determining the command given by the user by performing sequential intent classification and slot-filling using the ATIS and SNIPS datasets with a neural network approach: LSTM and pre-trained BERT.

Language: Python - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TheGreatRico/time-series-prediction

Predicting time series using various models.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

anjanatiha/Twitter-US-Airline-Sentiment

Twitter data on US Airlines Sentiment Analysis with Deep Learning (LSTM and CNN)

Language: Jupyter Notebook - Size: 300 KB - Last synced at: 18 days ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 2

Data-Science-kosta/Forecasting-air-pollution-LSTM-model-and-Regression-trees-model

Forecasting air pollution from given weather data. Two models were implemented: Regression Trees and LSTM model.

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 0

xoire/Forecasting-Stock-Price

Forecasting Stock Price (Independent Capstone project)

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omarch7/NamePredictor

A Recurrent Neural Network (LSTM) to predict if a string is a name or not

Language: Jupyter Notebook - Size: 48.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 3 - Forks: 1

Merterm/Etymon

Find the origin of words in every language using a Deep Neural Network trained to create an etymological map.

Language: JavaScript - Size: 426 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 20 - Forks: 1

kracr/Temporal-Causal-Relation-Classification

The aim of the project is to perform joint classification of temporal and causal relations between two events that appear in text. We built an LSTM model that makes use of the POS tags and dependency structures in the text to classify temporal and causal relations.

Language: Jupyter Notebook - Size: 71.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

pushpulldecoder/SMblyNET

Sampling intangible assembly language at first glance

Language: Jupyter Notebook - Size: 122 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

imraviagrawal/compsci682-DeepLearning

Implementation of Deep Learning algorithm from scratch

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jillmpla/thesis_recurrent_neural_nets

Predicting solar flares with simple RNNs, LSTMs and GRUs.

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giuliots95/Time_series_forecast_with_LSTM_network

This repository contains the implementation of a recurrent neural network (LSTM from keras library) with the purpose of forecasting target time series, given the targets historical records and covariates. The project uses a toy data set, while focusing on the data transformation tasks (pandas dataframes to 3D numpy arrays required by recurrent networks) and on the hyperparameters tuning tasks, taking advantage of keras_tuner package.

Language: Jupyter Notebook - Size: 2.42 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

Ashutosh0120/Realtime-Sign-Language-System

Sign Language Detection System

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sarahm44/lstm-stock-predictor

Uses deep learning recurrent neural networks to model Bitcoin closing prices. One model uses fear and greed indicators while the second uses a window of closing prices.

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super-m-a-n/Time-Series-Anomaly-Detection-Forecasting-and-Compression

LSTM model for time-series forecasting. LSTM autoencoder for time-series anomaly detection. Convolutional neural network for time-series autoencoding.

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chathurawimalasiri/stock-price-prediction

This project focuses on predicting future stock prices using recurrent neural networks (RNNs) implemented in TensorFlow. The RNN models are built using basic, LSTM, or GRU cells to capture temporal dependencies and make accurate predictions of stock prices.

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rorycawley/MSc-Dissertation

DissertationCA2

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tstran155/AG-News-Topic-Classification-and-Topic-Modeling-using-Natural-Language-Processing

This repo demonstrates how to perform topic classification and modeling using Natural Language Processing.

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amienrais12/MULTIVARITE-TIMESERIES-FORCASTING-USING-LSTM

Miltivariate Time Series Forcasting using Long Short Term Memory (LSTM) for Predicting Sea Level Rise in Bandar Lampung, Indoneisa

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ErykDev/StockPricePredictionDL4J

Lstm based stock price prediction

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MehranMotamedi/Predicting-Point-Defects-in-Silicon-using-LSTM-Neural-Networks

Predicting Point Defects in Silicon using LSTM Neural Networks: A Comparative Analysis of Actual and Predicted Intensity Values

Language: Python - Size: 43 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0