chen-hao-chao

chen-hao-chao's Stars

• facebookresearch/sam2

  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 Notebook12.3k1.1k

• facebookresearch/segment-anything

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

  Language:Jupyter Notebook47.6k5.6k

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.3k567

• openai/consistencydecoder

  Consistency Distilled Diff VAE

  Language:Python2.1k75

• yilundu/improved_contrastive_divergence

  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models

  Language:Python6214

• xuanlinli17/autoregressive_inference

  Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)

  Language:Python113

• lucidrains/video-diffusion-pytorch

  Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

  Language:Python1.3k129

• LTH14/mar

  PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838

  Language:Python99855

• TIXFeniks/neurips2019_intrus

  Language:Jupyter Notebook164

• LTH14/mage

  A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

  Language:Python52725

• MouseLand/cellpose

  a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

  Language:Jupyter Notebook1.4k398

• ChienFeng-hub/meow

  [NeurIPS 2024] Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow

  Language:Python141

• kuleshov-group/awesome-discrete-diffusion-models

  A curated list for awesome discrete diffusion models resources.

  643

• louaaron/Score-Entropy-Discrete-Diffusion

  [ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)

  Language:Python40136

• elsa-lab/entrypoint

  Entrypoint serving as a useful link portal for Elsa Lab members and alumni.

  1

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  2.9k448

• CharonWangg/Awesome-Causal-Discovery

  An awesome list of Causality and Machine Learning related papers, books and other resources.

  5

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML11.2k11.2k

• rr-learning/CausalWorld

  CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

  Language:Python20825

• IntelLabs/causality-lab

  Causal discovery algorithms and tools for implementing new ones

  Language:Jupyter Notebook19526

• Toni-SM/skrl

  Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab

  Language:Python55657

• isaac-sim/OmniIsaacGymEnvs

  Reinforcement Learning Environments for Omniverse Isaac Gym

  Language:Python852217

• Squirtle007/Retrieval-Augmented_Generation

  Language:Jupyter Notebook147

• riannevdberg/sylvester-flows

  Language:Python17733

• j3soon/rail-berkeley-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.

  Language:Python1

• fangchangma/invert-generative-networks

  NIPS 2018 "Invertibility of Convolutional Generative Networks from Partial Measurements"

  Language:MATLAB202

• openai/consistency_models

  Official repo for consistency models.

  Language:Python6.2k418

• chrhenning/hypnettorch

  Package for working with hypernetworks in PyTorch.

  Language:Python11714

• g1910/HyperNetworks

  PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

  Language:Python25937

• rail-berkeley/rlkit

  Collection of reinforcement learning algorithms

  Language:Python2.5k554