Stars
Modular, scalable library to train ML models
Jeo: Jax model training lib for Earth Observation
Official inference library for Mistral models
Multi-modal Content Creation Model Training Infrastructure including the FACT model (AI Choreographer) implementation.
Backpropagation-Friendly-Eigendecomposition
A Python package that provides evaluation and visualization tools for the DexYCB dataset
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
A curated list of resources on implicit neural representations.
Main repository for Deep Metric Learning via Lifted Structured Feature Embedding
A PyTorch re-implementation of Neural Radiance Fields
Code in conjunction with the publication 'Contrastive Representation Learning for Hand Shape Estimation'
Code for "Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids", CVPR 2019
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
Code for "Single-view robot pose and joint angle estimation via render & compare", CVPR 2021 (Oral).
Hand detection models trained on 100DOH (100 Days of Hands) dataset.
An end-to-end library for automatic character rigging, skinning, and blend shapes generation, as well as a visualization tool [SIGGRAPH 2021]
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
VIP cheatsheets for Stanford's CS 229 Machine Learning
An educational resource to help anyone learn deep reinforcement learning.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Implementation of the Point Transformer layer, in Pytorch
CVPR2020. HOnnotate: A method for 3D Annotation of Hand and Object Poses
shreyashampali / ho3d
Forked from lmb-freiburg/freihandA dataset for pose estimation of hand when interacting with object and severe occlusions.
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute