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

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

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

Realistic Handwriting with Tensorflow

How to build RNNs and LSTMs from scratch with NumPy.