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cil-notes-2020

Personal notes for Computational Intelligence Lab (CIL) 2020 by Prof. Thomas Hofmann at ETH Zurich

cleot

Source code for the "Entropic optimal transport loss for learning deep neural networks under label noise"

climin

Optimizers for machine learning

cloud-movers-distance

Employing Optimal Transport metrics for Point Cloud Registration

clt_sinkhorn

J. Bigot, E. Cazelles, N. Papadakis, 'Central limit theorems for entropy-regularized optimal transport on finite spaces and statistical applications', https://projecteuclid.org/euclid.ejs/1576119711

clustering-algorithms

An Implementation of 5 different clustering algorithms on Python 3.5

cngoncot

Cournot Nash Game calculated with Causal Optimal Transport technique

code-for-coupling-matrix-manifolds-assisted-optimization-for-optimal-transport

codenames

Codenames (Deep Learning, ETH Zurich, 2018)

color-transfer

Color transfer by optimal transport

color-transfer-optimal-transport

colorization-optimal-transport

Colorization and color transfer using optimal transport

combinatorialoptimaltransport

The implementation of the additive approximation optimal transport algorithm for the paper https://arxiv.org/pdf/1905.11830.pdf

combining-machine-learning-with-decision-making

Machine Learning and the Traveling Repairman Problem

comparison-of-optimization-algorithms

# Algorithms compared: # > Proximal Gradient Descent # > Accelerated Proximal Gradient Descent # > Coordinate Descent # > Alternating Direction Method of Multipliers (ADMM) #

complete-python-bootcamp

Lectures for Udemy - Complete Python Bootcamp Course

completethat

CompleteThat is a python package that solves the low rank matrix completion problem. Given a low rank matrix with partial entries the package solves an optimization problem to estimate the missing entries.

compressedsensing

Recovery of Sparse Matrix in O(N) via Compressed Sensing Techniques

computational-optimal-transport

implementation of the COT book https://optimaltransport.github.io/book/

computational_statistics

Course on Computational Statistics at FGV

computationaloptimaltransport

computationalotsummerschool

Practical sessions of INRIA Paris' Summer School 'A Numerical Introduction to Optimal Transport' - May 2019

convex-optimization-algorithms

Some algorithms for numerically solving convex optimization problem

convex-optimization-course

Repository for my convex optimization course.

convex_optimization

This is a homework of convex_optimization which implements almost all solutions of LASSO and some solutions of LP, such as cvxpy, gurobi, mosek, gradient descent, proximal primal problem, smoothed primal problem, FISTA, Nesterov second, ADMM and so on. Currently I completed the Chinese 'README', but in the near future, I will try to write an English version.

convexopt

Convex optimization framework for Python

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

corr_ot_geom

Correlation matrix geometric via optimal transport

cot-gan

COT-GAN: Generating Sequential Data via Causal Optimal Transport

cot-gan-1

COT-GAN: Generating Sequential Data via Causal Optimal Transport