There are 19 repositories under lstm-neural-networks topic.
List of papers, code and experiments using deep learning for time series forecasting
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.
Stock Price Prediction using Machine Learning Techniques
Introducing neural networks to predict stock prices
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
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
Implementation of a hierarchical CNN based model to detect Big Five personality traits
Temporal Segments LSTM and Temporal-Inception for Activity Recognition
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Sentence paraphrase generation at the sentence level
Video to Text: Natural language description generator for some given video. [Video Captioning]
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
A curated list of dedicated resources and applications
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
How to build RNNs and LSTMs from scratch with NumPy.
Anomaly detection for temporal data using LSTMs
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
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
Aulas da Escola de Inteligência Artificial de São Paulo
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
Generate monophonic melodies with machine learning using a basic LSTM RNN
Scraps historical stock market data from Yahoo Finance (https://finance.yahoo.com/)
[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
Understanding and visualizing PyTorch Batching with LSTM
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.
First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT
Deep Learning-based Clustering Approaches for Bioinformatics