changwxx / Awesome-Optimal-Transport-in-Deep-Learning

Related projects ⓘ

Alternatives and complementary repositories for Awesome-Optimal-Transport-in-Deep-Learning

• kilianFatras / awesome-optimal-transport
  A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…
  ☆206Updated 3 years ago
• WeiHuang05 / Awesome-Feature-Learning-in-Deep-Learning-Thoery
  Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…
  ☆143Updated 2 weeks ago
• qym7 / CBDM-pytorch
  Official implementation for 'Class-Balancing Diffusion Models'
  ☆46Updated 5 months ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆98Updated last year
• changwxx / UniOT-for-UniDA
  Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"
  ☆57Updated last year
• khainb / EBSW
  Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance
  ☆14Updated 8 months ago
• ranpox / openreview-visualization
  OpenReivew Submission Visualization (ICLR 2024/2025)
  ☆140Updated 3 weeks ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆276Updated 11 months ago
• xiaoiker / Awesome-Hyperbolic-NeuralNetworks
  Papers and Codes for the deep learning in hyperbolic space
  ☆171Updated 2 years ago
• isjakewong / InfoDiffusion
  InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
  ☆18Updated 4 months ago
• BierOne / ood_coverage
  [ICLR 2024 Spotlight] Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
  ☆25Updated 2 weeks ago
• Baijiong-Lin / LoRA-Torch
  PyTorch Reimplementation of LoRA (featuring with supporting nn.MultiheadAttention)
  ☆44Updated this week
• yossigandelsman / clip_text_span
  official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"
  ☆164Updated last month
• YueYANG1996 / LaBo
  CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
  ☆80Updated 5 months ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆94Updated last year
• pliang279 / FactorCL
  [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
  ☆60Updated 11 months ago
• XJTU-XGU / KPG-RL
  Keypoint-Guided Optimal Transport (NeurIPS 2022)
  ☆21Updated last year
• mr-eggplant / SAR
  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World
  ☆162Updated last year
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆92Updated 8 months ago
• MinghuiChen43 / awesome-deep-phenomena
  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
  ☆270Updated this week
• kilianFatras / JUMBOT
  Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
  ☆43Updated 2 years ago
• LINs-lab / ttab
  [ICML23] On Pitfalls of Test-Time Adaptation
  ☆103Updated 7 months ago
• guijiejie / SSL
  ☆76Updated last year
• UT-Austin-Data-Science-Group / Mini-batch-OT
  A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…
  ☆35Updated last year
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆105Updated last year
• iamalexkorotin / NeuralOptimalTransport
  PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
  ☆177Updated 10 months ago
• kaiwenzha / Rank-N-Contrast
  [NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression
  ☆91Updated 8 months ago
• YuheD / awesome-model-transferability-estimation
  A collection of model transferability estimation methods.
  ☆24Updated 3 weeks ago
• ZIYU-DEEP / Awesome-Information-Bottleneck
  This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
  ☆318Updated 5 months ago
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆52Updated last year