All Algorithms implemented in Python

A toolkit for developing and comparing reinforcement learning algorithms.

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

Deezer source separation library including pretrained models.

Magenta: Music and Art Generation with Machine Intelligence

PyTorch implementations of Generative Adversarial Networks.

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

AutoML library for deep learning

Speech recognition module for Python, supporting several engines and APIs, online and offline.

Code for the paper Hybrid Spectrogram and Waveform Source Separation

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

Audio fingerprinting and recognition in Python

A TensorFlow implementation of DeepMind's WaveNet paper

An implementation of a deep learning recommendation model (DLRM)

Deep learning driven jazz generation using Keras & Theano!

DDSP: Differentiable Digital Signal Processing

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

The PyTorch-based audio source separation toolkit for researchers

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

CNNs for sentence classification

A recurrent neural network designed to generate classical music.

A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model

An AI for Music Generation

Sound analysis/synthesis tools for music applications

Python audio and music signal processing library

Open-Unmix - Music Source Separation for PyTorch

Generates video game music using neural networks.

CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)

Finding the genre of a song with Deep Learning