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: about 2 years ago - Stars: 276 - Forks: 81

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: 10 months ago - Pushed at: over 5 years ago - Stars: 206 - Forks: 90

IBM/MAX-Weather-Forecaster

Predict hourly weather features given historical data for a specific location

Language: Python - Size: 6.33 MB - Last synced at: 10 days ago - Pushed at: about 1 month 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 1 month ago - Pushed at: about 7 years ago - Stars: 50 - Forks: 22

jyoti0225/Air-Pollution-Forecasting

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

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hellojinwoo/TorchCoder Fork of shobrook/sequitur

PyTorch based autoencoder for sequential data

Language: Python - Size: 79.1 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 39 - Forks: 7

bzantium/EA-LSTM

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

Language: Python - Size: 681 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 37 - Forks: 5

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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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

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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snrazavi/Deep-Learning-for-NLP

Contains different course tutorials and jupyter notebook file for applying different Deep Learning models in different NLP tasks such as text classification, summarization, translation, etc.

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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

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

0zgur0/STAckable-Recurrent-network

[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

Language: Python - Size: 11.6 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 2

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

HRSadeghi/NeuralPersianPoet

Neural Persian Poet: A sequence-to-sequence model for composing Persian poetry

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rgdavies92/tensorflow-spam

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

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MohamedAliHabib/Stock-Price-Predictor

Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.

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tmatha/lstm

Training an LSTM network on the Penn Tree Bank (PTB) dataset

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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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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

amycardoso/retrieval-based-chatbot

Analysis Of The Context Size Impact In Deep Learning Conversational Systems

Language: Python - Size: 3.38 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 3

thomasvrussell/snail

SuperNova Artificial Inference by Lstm neural networks (SNAIL)

Language: Python - Size: 66.8 MB - Last synced at: 14 days ago - Pushed at: about 2 months ago - Stars: 8 - Forks: 1

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

menardai/chromecast_vad

RNN implementation of a voice activity detector to control Chromecast device volume.

Language: Jupyter Notebook - Size: 195 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 0

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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takp/stock-price-predictor

🤖 Predicting the stock price using LSTM (Deep Learning)

Language: Python - Size: 5.3 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 2

IamAdiSri/auth-id

A hierarchical bi-LSTM model trained to identify the author of a given email (SMAI@IIIT-H 2017)

Language: Python - Size: 3.34 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 3

Smarker/predict-ether

python meetup slides

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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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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.

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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

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.

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nzxtdata/Multivariate-Financial-Time-Series-Forecasting-with-Machine-Learning

Project using FTSE100 & SPX500 macroeconomic stock price data to forecast the close price of each dataset. Using Multivariate Vector Autoregressive Model (VAR), Vector Autoregressive moving-average Model (VARMA), Long Short-Term Memory Model (LSTM) & Encoder-Decoder LSTM

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xoire/Forecasting-Stock-Price

Forecasting Stock Price (Independent Capstone project)

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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: about 5 years ago - Stars: 4 - 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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pelinkeskin/Personal_projects

Personal projects

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olga1590/Power_consumption_prediction

Regression with LSTM

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aartighatkesar/Deep-Learning-Fundamentals

Implementation of various basic layers forward and back propagation. CS 231n Stanford Spring 2018: Convolutional Neural Networks for Visual Recognition. Solutions to Assignments

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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: 2 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

sakshikakde/interpretability_of_lstm

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

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

Susheel-1999/LSTM-next_word_prediction_using_pytorch

Predict the next word using Long short-term memory

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RegaipKURT/Artificial_Intelligence_PYTHON

Artificial İntelligence Python Codes

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R-aryan/Name_Entity_Recognition

This repository contains model for NER trained on clinical data to extract names of diseases from unstructured text. Named-entity recognition (NER) (also known as entity extraction) is a sub-task of information extraction that seeks to locate and classify named entity mentions in unstructured text into pre-defined categories such as the person names, organizations etc.

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RajK853/Hand_Movement_Recognition

Hand movement recognition using BBC Microbit

Language: Jupyter Notebook - Size: 48.5 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 3

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

VeeShostak/tensorflow-seq2seq-chat-bot

Tensorflow chatbot based on the seq2seq model, trained on a twitter chat log

Language: Python - Size: 6.92 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 2

omarch7/NamePredictor

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

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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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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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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: 2 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

dimi-fn/Emotion-Recognition-in-Movie-Abstracts

Original dissertation title: "Extract Emotional Tags from Movie Synopses". The identification, definition, and automatic prediction of a set of emotions in movies, based on their movie abstracts and various metadata.

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tstran155/Time-series-regression-of-Rossmann-stores-sales-data

In this notebook, I built machine learning and neural network models to regress and predict Rossmann stores' daily sales.

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dreamergz/stock-prediction

Stock prediction with LSTM. Predict 21st day close price by input 1 - 20th days store data

Language: Python - Size: 14.3 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

PexoDev/sc2eval

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

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ErykDev/StockPricePredictionDL4J

Lstm based stock price prediction

Language: Java - Size: 365 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 3

riven314/End2End-Controllable-Instagram-Captioning

An end-to-end approach to build an image captioning model with engaging captions and controllable attributes

Language: Jupyter Notebook - Size: 30.9 MB - Last synced at: 2 days ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

priyanshu2015/Weather-Forecasting

Using LSTM model to predict temperature using data of previous 3hours.

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saminens/Detecting-Equipment-Failure-Using-LSTM-Autoencoder

Industry Practicum: Jan 2020 - Mar 2020

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

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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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anjanatiha/Twitter-US-Airline-Sentiment

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

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rorycawley/MSc-Dissertation

DissertationCA2

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sekharvth/dinosaur-name-generation-keras

Name your own dinosaurs

Language: Python - Size: 18.6 KB - Last synced at: 15 days ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

tompntn/LSTM-RNN

Implementation of a Recurrent Neural Network with LSTM cells, in pure Python.

Language: Python - Size: 8.79 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 4

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: 818 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

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 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

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

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

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

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

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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

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maximkiesel1/Stock_Market_Prediction

Stock Market Prediction With <5% MAPE Score

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thw1021/DSRRANS

Discovering explicit Reynolds-averaged turbulence closures for turbulent separated flows through deep learning-based symbolic regression with non-linear corrections

Language: C++ - Size: 26.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 2

bbabina/Visual-Question-Answering

Visual Question Answering on Medical Data

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Logahn/human-activity-recognition

Implementation of human activity recognition using a Convolutional Neural Network combined with a Long-Short Term Memory Network

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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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Gaiban-Khan/Stock-Price-Prediction

A stock price prediction system built using LSTM.

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utkarsh-iitbhu/Sentimental-Analysis

Model can classify speech into Positive, Neutral and Negative with there probabilities.

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ohallstrom/ML-jazz-predictions

Chord predictions through ML w/ the Digital and Cognitive Musicology Lab at EPFL

Language: Python - Size: 49 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

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.

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lck3nny/AvalancheLSTM

A proof of concept ML project using an LSTM structure to analyse trends in weather data and predict the occurrence of avalanches in the Utah area.

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mmaks74/How_to_start_with_ML_project

The notebook to my article in LinkedIn

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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: about 4 years ago - Stars: 1 - Forks: 0

jillmpla/thesis_recurrent_neural_nets

Predicting solar flares with simple RNNs, LSTMs and GRUs.

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PeterGemmell/Stock_Price_Predictor

This Python programme aims to give a prediction of the future price of a particular stock using the past 60 day closing price. This involves the use of an RNN called LSTM. Implements TensorFlow, with data being presented via Matplotlib.

Language: Python - Size: 166 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

TrilokiDA/Speaker-Identification-from-Voice

Language: Jupyter Notebook - Size: 398 KB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

santhalakshminarayana/Quotation_Generation_Glove_LSTM_Pytorch

Quotation generation using LSTM - Pytorch with custom embeddings trained with Glove model.

Language: Jupyter Notebook - Size: 428 KB - Last synced at: 15 days ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

parthbhide/Copy-cat-Bot

Generate plausible new text which looks like some other text !!

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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

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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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

ewliang/Stock-Predictor

A simple stock predictor webapp using brain.js LSTM neural network.

Language: JavaScript - Size: 244 KB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 4

gnebbia/lstm_predictor

A Univariate Time Series Forecasting with Python+Keras

Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: 4 months ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

shubhanshu786/Stock_Price_Prediction

Language: Jupyter Notebook - Size: 124 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

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. 🐙🚀

Size: 7.81 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 280 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0