lu876

lu876's Stars

• jychoi118/P2-weighting

  CVPR 2022

  Language:Python14214

• kwonminki/Asyrp_official

  official repo for Asyrp : Diffusion Models already have a Semantic Latent Space (ICLR2023)

  Language:Python25221

• dangeng/flowmag

  Official code for NeurIPS 2023 paper "Self-Supervised Motion Magnification by Backpropagating Through Optical Flow"

  Language:Python255

• zhaoyingpan/prompt_log_analysis

  A Prompt Log Analysis of Text-to-Image Generation Systems (WWW 2023)

  Language:Python6

• tanelp/tiny-diffusion

  A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.

  Language:Jupyter Notebook66255

• kohpangwei/group_DRO

  Distributionally robust neural networks for group shifts

  Language:Python24749

• LAION-AI/dalle2-laion

  Pretrained Dalle2 from laion

  Language:Python50065

• Taeuk-Jang/FADES

  Language:Jupyter Notebook21

• HowToNameMe/micro-expression

  MEGC2022

  Language:Python18

• Wuyxin/DISC

  Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)

  Language:Python405

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python10.3k981

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook25.9k3.3k

• chingyaoc/debias_vl

  Code for Debiasing Vision-Language Models via Biased Prompts

  Language:Python534

• SprocketLab/roboshot

  Language:Python222

• vislearn/analyzing_inverse_problems

  Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)

  Language:Jupyter Notebook8415

• JohnsonForSure/ML-in-Bioinfo-and-Healthcare

  Language:Jupyter Notebook1

• charan223/FairDeepLearning

  Language:Python3513

• lucweytingh/ARL-UvA

  A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demographics through Adversarially Reweighted Learning".

  Language:Jupyter Notebook203

• kamenbliznashki/normalizing_flows

  Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

  Language:Python605101

• tqdm/tqdm

  :zap: A Fast, Extensible Progress Bar for Python and CLI

  Language:Python28.7k1.4k

• vislearn/FrEIA

  Framework for Easily Invertible Architectures

  Language:Python768113

• vislearn/GIN

  Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)

  Language:Python3110

• HHalva/snica

  Code for the paper 'Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA' @ Neurips'21

  Language:Python174