sidiatig Goto Github PK

imperial-lectures

CFM-Imperial lectures on “Optimal transport and applications to economics, statistics and finance”

k-means-clustering

kantorovich-distance

Solution to the Kantorovich optimal transport problem

kerasgan

A couple of simple GANs in Keras

kernelfeatureselection

A Msc Data Sciences project consisting in a synthesis of 3 papers on kernel feature selection.

kl-divergence-estimators

Testing methods for estimating KL-divergence from samples.

large-scale-optimal-transport

Report and code for Large Scale optimal transport project

large-scale-ot

Stochastic algorithms for computing Regularized Optimal Transport

large-scale-ot-mapping-tf

Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)

lasso

Assignment for Convex Optimization in Autumn 2017 in PKU. Submitted version. Some methods to solve the LASSO problem.

lasso-1

Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic gradient descent variants.

lasso-barrier

Implementation of the barrier method to solve the LASSO problem

lddmm-ot

MICCAI 2017 Paper - Optimal Transport for Diffeomorphic Registration

learning_by_association

leetcode-1

:pencil2: LeetCode solutions in C++ 11 and Python3

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

local-optimal-transport

logistic_regression

Implementation of Logistic Regression using three optimization techniques namely 1) Gradient Descent 2) Stochastic Gradient Descent and 3) Newton's Method

lp-optimal-transport

Linear programming formulation and solution to optimal transport problem in 1D and 2D

lsd-seg

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

machine-learning

CS 7641 coursework

machine-learning-1

Code and notebooks on machine learning

machine-learning-2

Code and notebooks on machine learning

machine-learning-algorithms

Implementation of the most famous machine learning algorithms in Python, using ipython notebook.

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machine_learning_basics

Plain python implementations of basic machine learning algorithms

math-econ-code

Matching Models, Optimal Transport and Applications

matlab-misc

Miscellaneous Matlab scripts I find useful

maximum-entropy-model

An implementation of MaxEnt, with Mini-batch Stochastic Gradient approach to get the optimized parameters.

mec_optim

math+econ+code masterclass on optimization in economics: optimal transport, demand models, matching models