ponimatkin

ponimatkin's Stars

• Delgan/loguru

  Python logging made (stupidly) simple

  Language:Python20.5k1421k711

• facebookresearch/segment-anything-2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook11.1k64259944

• salesforce/LAVIS

  LAVIS - A One-stop Library for Language-Vision Intelligence

  Language:Jupyter Notebook10.2k97679989

• google-deepmind/mujoco

  Multi-Joint dynamics with Contact. A general purpose physics simulator.

  Language:Jupyter Notebook8.5k1101.6k866

• sczhou/ProPainter

  [ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting

  Language:Python5.8k5690675

• naver/dust3r

  DUSt3R: Geometric 3D Vision Made Easy

  Language:Python5.7k54172612

• facebookresearch/co-tracker

  CoTracker is a model for tracking any point (pixel) on a video.

  Language:Jupyter Notebook4.1k33115269

• ali-vilab/VGen

  Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models

  Language:Python3k32138268

• facebookresearch/jepa

  PyTorch code and models for V-JEPA self-supervised learning from video.

  Language:Python2.7k3757259

• Doubiiu/DynamiCrafter

  [ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

  Language:Python2.7k32142218

• apple/axlearn

  An Extensible Deep Learning Library

  Language:Python1.9k6323280

• real-stanford/diffusion_policy

  [RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

  Language:Python1.9k18114360

• openvla/openvla

  OpenVLA: An open-source vision-language-action model for robotic manipulation.

  Language:Python1.7k22182220

• google-deepmind/mujoco_menagerie

  A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.

  Language:Python1.7k3081234

• OpenGVLab/InternVideo

  [ECCV2024] Video Foundation Models & Data for Multimodal Understanding

  Language:Python1.5k2720194

• criteo/autofaiss

  Automatically create Faiss knn indices with the most optimal similarity search parameters.

  Language:Python826187974

• hkchengrex/Cutie

  [CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation

  Language:Python772412477

• jonbarron/camp_zipnerf

  Language:Python677182945

• OpenGVLab/VideoMAEv2

  [CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking

  Language:Python56176263

• RaymondWang987/NVDS

  ICCV 2023 "Neural Video Depth Stabilizer" (NVDS) & TPAMI 2024 "NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation" (NVDS+)

  Language:Python499223424

• geopavlakos/hamer

  HaMeR: Reconstructing Hands in 3D with Transformers

  Language:Python48459149

• TencentARC/UMT

  UMT is a unified and flexible framework which can handle different input modality combinations, and output video moment retrieval and/or highlight detection results.

  Language:Python19565419

• PKU-EPIC/GAPartNet

  [CVPR 2023 Highlight] GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts.

  Language:Jupyter Notebook11441915

• shikharbahl/vrb

  Language:Python95497

• schmidtdominik/LAPO

  Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)

  Language:Python84337

• yxKryptonite/RAM_code

  Official implementation of RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation

  Language:Python68474

• JeanElsner/panda_mujoco

  MuJoCo model of the Franka Emika Robot System

  Language:Python51133

• cvlab-columbia/dreamitate

  Dreamitate: Real-World Visuomotor Policy Learning via Video Generation (CoRL 2024)

  42810

• JeanElsner/dm_robotics_panda

  Panda model for dm_robotics

  Language:Python28222

• andvg3/LGD

  Dataset and Code for CVPR 2024 paper "Language-driven Grasp Detection."

  Language:Python16321