Samples for Google Cloud Machine Learning Engine
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Fruit, a dependency injection framework for C++
Parallel Job Manager - Mirrored from https://gitlab.idiap.ch/bob/gridtk
This is now the official location of the Kaldi project.
Deep Learning for humans
nanoflann: a C++ header-only library for Nearest Neighbor (NN) search wih KD-trees
Config files for my GitHub profile.
Open Source Neural Machine Translation in PyTorch
PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies` (as introduced by Google Research).
2018 Reddit release of suspicious accounts
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
TensorFlow-based neural network library
code for Structured Variational Autoencoders
A variational recurrent neural network implementation in tensorflow
A TensorFlow implementation of DeepMind's WaveNet paper
In defence of metric learning for speaker recognition
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.