Explore live open-source projects and AI models.

Deep learning driven jazz generation using Keras & Theano!

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

List of papers, code and experiments using deep learning for time series forecasting

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

Efficient, reusable RNNs and LSTMs for torch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for... Read more

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.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Implementation of Convolutional LSTM in PyTorch.

LSTM and QRNN Language Model Toolkit for PyTorch