Stars
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Google Research
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
Models and examples built with TensorFlow
Character Generator based on Universal-LPC-Spritesheet
Typed argument parser for Python
A procedural Blender pipeline for photorealistic training image generation
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
This repository contains implementations and illustrative code to accompany DeepMind publications
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
TensorFlow-based neural network library
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search
The code for paper "Learning Implicit Fields for Generative Shape Modeling".
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
Standalone TFRecord reader/writer with PyTorch data loaders
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
Code release for NeRF (Neural Radiance Fields)
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.