ozzie00

-EANet

External Attention Network

CMC

pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

deepul

deterministic-uncertainty-quantification

Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"

dissect

Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"

energy_ood

eran

ETH Robustness Analyzer for Deep Neural Networks

Generalization-OOD-Reading-List

一些domain generalization相关的阅读笔记

h-store

H-Store Distributed Main Memory OLTP Database System

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

meshrcnn

code for Mesh R-CNN, ICCV 2019

mmaction

An open-source toolbox for action understanding based on PyTorch

mmcv

Open MMLab Computer Vision Foundation

mmdetection

Open MMLab Detection Toolbox and Benchmark

mmskeleton

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

MobiusCNNs

This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent Convolutional Networks.

nerf

Code release for NeRF (Neural Radiance Fields)

neuroglancer

WebGL-based viewer for volumetric data

NYU-DLSP21

NYU Deep Learning Spring 2021

pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

RepMLP

RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

ros2

The Robot Operating System, is a meta operating system for robots.

sense

Enhance your application with the ability to see and interact with humans using any RGB camera.

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

ss-ood

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

ssm

Bayesian learning and inference for state space models

TokenEconomyBook

How the Web3 reinvents the Internet - Copyleft 2020, Shermin Voshmgir: Creative Commons – CC BY-NC-SA

vision_transformer

website