hassony2

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

spinningup

An educational resource to help anyone learn deep reinforcement learning.

mistral-src

Reference implementation of Mistral AI 7B v0.1 model.

awesome-implicit-representations

A curated list of resources on implicit neural representations.

lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

nerf-pytorch

A PyTorch re-implementation of Neural Radiance Fields

segmenter

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

neural-blend-shapes

An end-to-end library for automatic character rigging, skinning, and blend shapes generation, as well as a visualization tool [SIGGRAPH 2021]

point-transformer-pytorch

Implementation of the Point Transformer layer, in Pytorch

mint

Multi-modal Content Creation Model Training Infrastructure including the FACT model (AI Choreographer) implementation.

robohive

A unified framework for robot learning

Deep-Metric-Learning-CVPR16

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

ACVD

Fast simplification of 3D surface meshes

ho3d

A dataset for pose estimation of hand when interacting with object and severe occlusions.

HOnnotate

CVPR2020. HOnnotate: A method for 3D Annotation of Hand and Object Poses

dex-ycb-toolkit

A Python package that provides evaluation and visualization tools for the DexYCB dataset

superquadric_parsing

Code for "Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids", CVPR 2019

Semi-Hand-Object

pyvda

Python module for manipulating Windows 10/11 windows and virtual desktops.

hand_detector.d2

Hand detection models trained on 100DOH (100 Days of Hands) dataset.

Power-Iteration-SVD

Backpropagation-Friendly-Eigendecomposition

robopose

Code for "Single-view robot pose and joint angle estimation via render & compare", CVPR 2021 (Oral).

FewShotViewpoint

(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"

contra-hand

Code in conjunction with the publication 'Contrastive Representation Learning for Hand Shape Estimation'

DataDownload

cr_grasper

columbia robotics grasping simulator

predicting-physical-dynamics

Code for "Predicting the Physical Dynamics of Unseen 3D Objects" presented at WACV 2020.