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

Time series forecasting with machine learning models

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

Introducing neural networks to predict stock prices

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

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

?? ???????????????????? PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Sentence paraphrase generation at the sentence level

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Video to Text: Natural language description generator for some given video. [Video Captioning]

?? It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Realistic Handwriting with Tensorflow

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

GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management