Source code and data

Evaluation code for the "Searching for Structure in Unfalsifiable Claims" paper.

This repository contains implementations and illustrative code to accompany DeepMind publications

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

code for "Residual Flows for Invertible Generative Modeling".

Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"

Geometric Computer Vision Library for Spatial AI

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

LCNN: End-to-End Wireframe Parsing

📊 A simple command-line utility for querying and monitoring GPU status

Repository for the paper "Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop"

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"

On the Variance of the Adaptive Learning Rate and Beyond

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

a simple app made for better explore the papers of NeuRIPS 2019

Implementations of various VAE-based semi-supervised and generative models in PyTorch

Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)

Python 3 reimplementation of SyntaxSQLNet, including several improvements