Stars
From the Transistor to the Web Browser, a rough outline for a 12 week course
A curated list of awesome Uniswap v3 resources
[ICLR 2021] Beyond Categorical Label Representations for Image Classification
Code and pre-trained model for the algorithm generating visualisations of 3 climate change related events: floods, wildfires and smog.
The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed causal structure.
Use the Zoom Meeting SDK in React
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
A toolkit for developing and comparing reinforcement learning algorithms.
Track emissions from Compute and recommend ways to reduce their impact on the environment.
Joint-task Self-supervised Learning for Temporal Correspondence (NeurIPS 2019)
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
A curated list of awesome self-supervised methods
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
Profiling and inspecting memory in pytorch
A collection of AWESOME things about domian adaptation