Neural Modules: a toolkit for conversational AI

NeMo text processing for ASR and TTS

Toolkit for efficient experimentation with various sequence-to-sequence models

This version of CTC decoder is similar to that of Deep Speech implementation of CTC decoding with added feature of capturing timestamps for every word

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Computation using data flow graphs for scalable machine learning

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

A PaddlePaddle implementation of DeepSpeech2 architecture for ASR.

A TensorFlow implementation of Baidu's DeepSpeech architecture

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)