Transformer-based model for learning authorship representations.

ML Collections is a library of Python Collections designed for ML use cases.

Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples

A large corpus of discourse annotations and relations on ~10K forum threads.

A TensorFlow implementation of DeepMind's WaveNet paper

Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)

Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.

Models and examples built with TensorFlow

TensorFlow-based neural network library

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees

Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"

An Open Source Machine Learning Framework for Everyone

Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm

Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax

Complex number support for Torch

Deep Learning GPU Training System

Probability distributions, wrapped for Torch.

Autograd automatically differentiates native Torch code

Formerly known as code.google.com/p/1-billion-word-language-modeling-benchmark

Deep Learning for humans

Bayesian state-space modelling on high-performance hardware, including multicore, GPUs and distributed clusters.

A tool for linting and static analysis of Lua code.

http://torch.ch