langdayu

langdayu's Stars

• zzw-zwzhang/Awesome-of-Long-Tailed-Recognition

  A curated list of long-tailed recognition resources.

  58566

• GZWQ/Awesome-Long-Tailed

  Papers about long-tailed tasks

  8710

• jiawei-ren/BalancedMetaSoftmax-Classification

  [NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition

  Language:Python13425

• fra31/auto-attack

  Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

  Language:Python628111

• firedrakeproject/firedrake

  Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)

  Language:Python490157

• dfdazac/wassdistance

  Approximating Wasserstein distances with PyTorch

  Language:Jupyter Notebook45256

• gpeyre/SinkhornAutoDiff

  Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

  Language:Python42538

• francoispierrepaty/SubspaceRobustWasserstein

  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"

  Language:Jupyter Notebook263

• sakshigandhi/sinkhorn

  Replication of this paper: https://papers.nips.cc/paper/4927-sinkhorn-distances-lightspeed-computation-of-optimal-transport.pdf

  Language:Matlab84

• btaba/sinkhorn_knopp

  python implementation of Sinkhorn-Knopp

  Language:Python318

• yukimasano/self-label

  Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

  Language:Python52853

• gptod/OT-FV

  Finite volumes discretization of dynamical optimal transport. From the paper: A. Natale, G. Todeschi, "Computation of optimal transport with finite volumes", ESAIM: Mathematical Modelling and Numerical Analysis, 55(5):1847-1871, 2021.

  Language:MATLAB2

• andnatale/dynamic-ot

  Finite element discretization of dynamical optimal transport using Firedrake. This repo contains the code from the paper: A. Natale, and G. Todeschi. "A mixed finite element discretization of dynamical optimal transport." arXiv preprint arXiv:2003.04558 (2020).

  Language:Python11

• k2cu8/pyOMT

  A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm

  Language:Python329

• rcmaehl/WhyNotWin11

  Detection Script to help identify why your PC is not Windows 11 Release Ready. Now Supporting Update Checks!

  Language:AutoIt6.1k413

• gpeyre/2014-SISC-BregmanOT

  J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré. Iterative Bregman Projections for Regularized Transportation Problems. SIAM Journal on Scientific Computing, 37(2), pp. A1111–A1138, 2015.

  Language:TeX3114

• stanford-futuredata/sinkhorn-label-allocation

  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

  Language:Python533

• Hugo759/Fractal-Theory

  Language:Python1

• deel-ai/deel-lip

  Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers

  Language:Python8610

• yogeshbalaji/robustOT

  Robust Optimal Transport code

  Language:Python409

• vincentherrmann/wasserstein-notebook

  Wasserstein / earth mover's distance visualizations

  Language:Jupyter Notebook6426

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.1k9.5k

• huawei-noah/Efficient-AI-Backbones

  Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  Language:Python3.9k693

• jgm/pandoc

  Universal markup converter

  Language:Haskell33.4k3.3k

• PythonOT/POT

  POT : Python Optimal Transport

  Language:Python2.3k495

• stephaneckstein/OT_Comparison

  Comparison of different algorithms (Neural networks, linear programming and RKHS) to solve multi-marginal optimal transport problems.

  Language:Python71

• gibsjose/cpp-cheat-sheet

  C++ Syntax, Data Structures, and Algorithms Cheat Sheet

  Language:C++4.9k1.5k

• zhixuhao/unet

  unet for image segmentation

  Language:Jupyter Notebook4.5k2k