🦜🔗 Build context-aware reasoning applications

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

Simple tutorials using Google's TensorFlow Framework

An annotated implementation of the Transformer paper.

Low-Cost Open Source Ventilator or PAPR

Open-source implementation of Google Vizier for hyper parameters tuning

Multilingual word vectors in 78 languages

Hierarchical Attention Networks for Document Classification in PyTorch

Named Tensor implementation for Torch

Over9000 optimizer

Speech Recognition with the Caffe deep learning framework, migrating to

Deep learning based speech source separation using Pytorch

HMMs in PyTorch

Numerical Computation of Receptive Field in Pytorch

This toolbox is support material for the book on CNN (http://www.convolution.network).