langdayu

pandoc

Universal markup converter

examples

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

WhyNotWin11

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

cpp-cheat-sheet

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

unet

unet for image segmentation

Efficient-AI-Backbones

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

POT

POT : Python Optimal Transport

auto-attack

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

Awesome-of-Long-Tailed-Recognition

A curated list of long-tailed recognition resources.

self-label

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

firedrake

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

wassdistance

Approximating Wasserstein distances with PyTorch

SinkhornAutoDiff

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

BalancedMetaSoftmax-Classification

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

Awesome-Long-Tailed

Papers about long-tailed tasks

deel-lip

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

wasserstein-notebook

Wasserstein / earth mover's distance visualizations

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.

robustOT

Robust Optimal Transport code

pyOMT

A PyTorch implementation of adaptive Monte Carlo Optimal Transport algorithm

sinkhorn_knopp

python implementation of Sinkhorn-Knopp

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.

SubspaceRobustWasserstein

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

sinkhorn

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

OT_Comparison

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

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.

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).

Fractal-Theory