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sage

Sparse Additive Generative Model of Text

salad

A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

sample-based-optimal-transport

Sample based optimal transport solvers

scalable-thompson-sampling-via-optimal-transport

Particle-interactive Thompson Sampling (\pi-TS) (AISTATS 2019)

sinkhorn

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

sinkhorn-gan

Learning generative models with Sinkhorn Loss

sinkhorn-optimal-transport

Optimal transport approximated by Sinkhorn iterations

sinkhornnewton

Code for the paper "A Sinkhorn--Newton method for entropic optimal transport"

smai-project

smooth-ot

Python implementation of smooth optimal transport.

soadml

Scripts for optimization class

sparse_optimal_transport

Sparse Optimal Transport, with a Color transfer app. based Blondel, Seguy and Rolet's paper.

spot

SPOT: Sliced Partial Optimal Transport

stackgan

statistics-3-ensae

Work done for the Spring 2019 class of Statistics 3 at ENSAE

stochastic_optimization

this is an implementation of some variants of stochastic gradient algorithms and online learning algorithms including Adagrad, Adam, SVRG, SVRG-BB, FTRL on MNIST and Covertype datesets. and there are also something maybe helpful about convex optimization algorithms in my zhihu, the URL: https://zhuanlan.zhihu.com/p/34174603

stochasticot

Stochastic Optimization for Optimal Transport

style_transfer

Style Transfer as Optimal Transport

svm

swg

Sliced Wasserstein Generator

sy19

SY19 - Apprentissage automatique (Machine Learning)

talks

tda_ot

Tools for Topological Data Analysis built on Optimal Transport

teaching

tensorflow-build

TensorFlow binaries supporting AVX, FMA, SSE

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tensorflow-mnist-aae

Tensorflow implementation of adversarial auto-encoder for MNIST

tensorflowprojects

Deep learning using tensorflow

transfer-learning-algorithms

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

transport-and-related

Code for numerical section of "Computation of optimal transport and related hedging problems via penalization and neural networks"