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

Users that are interested in Awesome-Optimal-Transport-in-Deep-Learning are comparing it to the libraries listed below

• 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…
  ☆227Updated 4 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…
  ☆185Updated 6 months ago
• MengyuanChen21 / Awesome-Evidential-Deep-Learning
  A curated publication list on evidential deep learning.
  ☆123Updated 3 months ago
• abdelwahed / OT_for_big_data
  Optimal Transport in the Big Data Era
  ☆107Updated 8 months ago
• qym7 / CBDM-pytorch
  Official implementation for 'Class-Balancing Diffusion Models'
  ☆55Updated last year
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆115Updated 6 months ago
• marlin-codes / Awesome-Hyperbolic-Representation-and-Deep-Learning
  Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
  ☆492Updated last month
• papercopilot / paperlists
  Processed / Cleaned Data for Paper Copilot
  ☆530Updated 3 weeks ago
• XJTU-XGU / KPG-RL
  Keypoint-Guided Optimal Transport (NeurIPS 2022)
  ☆24Updated last year
• ZIYU-DEEP / Awesome-Information-Bottleneck
  This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
  ☆365Updated last year
• xie-lab-ml / deep-learning-dynamics-paper-list
  This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success o…
  ☆278Updated last year
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆313Updated last week
• iamalexkorotin / NeuralOptimalTransport
  PyTorch implementation of "Neural Optimal Transport" (ICLR 2023 Spotlight)
  ☆206Updated last year
• andyjm3 / Awesome-Riemannian-Optimization
  This repo contains papers, books, tutorials and resources on Riemannian optimization.
  ☆37Updated last month
• xiaoiker / Awesome-Hyperbolic-NeuralNetworks
  Papers and Codes for the deep learning in hyperbolic space
  ☆177Updated 2 years ago
• LINs-lab / ttab
  [ICML 2023] On Pitfalls of Test-Time Adaptation
  ☆119Updated last year
• zangzelin / code_ECCV2022_DLME
  ☆17Updated 2 years ago
• maxvanspengler / hyperbolic_learning_library
  An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
  ☆163Updated 6 months ago
• min-hieu / Tutorial_4
  A Tutorial for Diffusion Models
  ☆56Updated 2 years ago
• radarFudan / Awesome-state-space-models
  Collection of papers on state-space models
  ☆595Updated 2 months ago
• AngelosNal / PyTorch-Gumbel-Sigmoid
  Implementation of the Gumbel-Sigmoid distribution in PyTorch.
  ☆20Updated 2 years ago
• weitianxin / awesome-distribution-shift
  A curated list of papers and resources about the distribution shift in machine learning.
  ☆121Updated last year
• XzwHan / CARD
  Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"
  ☆228Updated 2 years ago
• dongzhuoyao / Diffusion-Representation-Learning-Survey-Taxonomy
  ☆90Updated 8 months ago
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆29Updated 8 months ago
• ArthurLeoM / peft-givens
  source code of (quasi-)Givens Orthogonal Fine Tuning integrated to peft lib
  ☆17Updated 4 months ago
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆236Updated 2 years ago
• RingBDStack / HypDiff
  This repository is the official implementation of "Hyperbolic Geometric Latent Diffusion Model for Graph Generation (HypDiff)" accepted b…
  ☆27Updated 8 months ago
• tim-learn / awesome-test-time-adaptation
  Collection of awesome test-time (domain/batch/instance) adaptation methods
  ☆1,030Updated 2 weeks ago
• donghao51 / MultiOOD
  [NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities
  ☆62Updated last month