lstm-neural-networks
There are 2578 repositories under lstm-neural-networks topic.
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
mravanelli/pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
scorpionhiccup/StockPricePrediction
Stock Price Prediction using Machine Learning Techniques
skforecast/skforecast
Time series forecasting with machine learning models
omerbsezer/LSTM_RNN_Tutorials_with_Demo
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
VivekPa/IntroNeuralNetworks
Introducing neural networks to predict stock prices
umbertogriffo/Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
JordiCorbilla/stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
NourozR/Stock-Price-Prediction-LSTM
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
SenticNet/personality-detection
Implementation of a hierarchical CNN based model to detect Big Five personality traits
chihyaoma/Activity-Recognition-with-CNN-and-RNN
Temporal Segments LSTM and Temporal-Inception for Activity Recognition
Zhenye-Na/DA-RNN
π ππππππππππ PyTorch Implementation of DA-RNN (arXiv:1704.02971)
vsuthichai/paraphraser
Sentence paraphrase generation at the sentence level
smousavi05/EQTransformer
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
scopeInfinity/Video2Description
Video to Text: Natural language description generator for some given video. [Video Captioning]
amansrivastava17/lstm-siamese-text-similarity
βοΈ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
30lm32/ml-projects
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
chibui191/bitcoin_volatility_forecasting
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
greydanus/scribe
Realistic Handwriting with Tensorflow
gabrielspmoreira/chameleon_recsys
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
tensorlayer/awesome-tensorlayer
A curated list of dedicated resources and applications
Netanelshoshan/freqAI-LSTM
A Trading Model Utilizing a Dynamic Weighting and Aggregate Scoring System with LSTM Networks
nicklashansen/rnn_lstm_from_scratch
How to build RNNs and LSTMs from scratch with NumPy.
AspirinCode/awesome-AI4MolConformation-MD
List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
ocatak/malware_api_class
Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers
akash13singh/lstm_anomaly_thesis
Anomaly detection for temporal data using LSTMs
SchoolOfAISaoPaulo/aulas
Aulas da Escola de InteligΓͺncia Artificial de SΓ£o Paulo
lucko515/speech-recognition-neural-network
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
pcko1/Deep-Drug-Coder
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
ajitsingh98/Time-Series-Analysis-and-Forecasting-with-Python
Time Series Analysis and Forecasting in Python
harshtikuu/Abnormal_Event_Detection
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
gunjannandy/stock-market-scraper
Scraps historical stock market data from Yahoo Finance (https://finance.yahoo.com/)
brannondorsey/midi-rnn
Generate monophonic melodies with machine learning using a basic LSTM RNN
jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction
PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.
emirhanai/Cryptocurrency-Prediction-with-Artificial-Intelligence
First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT
archd3sai/Predictive-Maintenance-of-Aircraft-Engine
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.