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alfred

ALFRED - A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

chainer

A flexible framework of neural networks for deep learning

clevrer

convlab

DSTC8 Track 1 Task 1 End-to-End Multi-Domain Dialog Challenge Result:

deeplearningexamples

Deep Learning Examples

dm-haiku

JAX-based neural network library

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

hub

A library for transfer learning by reusing parts of TensorFlow models.

hydra

Hydra is a framework for elegantly configuring complex applications

hydra-torch

Configuration classes enabling type-safe PyTorch configuration for Hydra apps

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

nemo

Neural Modules: a toolkit for conversational AI

nvisii

pythia

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

pytorchpipe

PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and language

rlax

tensor2tensor

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

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.