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coursera-university-of-washington

University of Washington

coursera_deep_learning

This something about deep learning on Coursera by Andrew Ng

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

covid-19

The final project for optimal transport course

covid-19-ce

covid19-r

Collection of analyses, packages, visualisations of COVID19 data in R

cppcon2016

Slides and other materials from CppCon 2016

cppnumericalsolvers

L-BFGS-B for TensorFlow or pure C++11 and other optimization methods

crf-for-road-segmentation-cil

Course project for Computational Intelligence Lab at ETH

crossdomainfaultdiagnosis

Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Transport

cs229_isl

iPython + scikit-learn for machine learning.

cs231n

Solutions to CS231n Assignments.

cs231n-1

stanford cs231n 2016 assignment

cs300-spring21

cs320-spring20

cs446

:computer: CS446: Machine Learning in Spring 2018, UIUC

cs446-machine-learning-spring2018

Programming assignments for UIUC CS446 course.

cs577-algorithm-spring21

cs760-ml-fall20

csml

Machine Learning and Computational Statistics

cudaot

Repository for solving discrete optimal transport problems via Cplex, Sinkhorn, FastEMD and the GPU implementation of SparseSinkhorn,

cuomt

A CUDA/C++ implementation of adaptive Monte Carlo Optimal Transport algorithm

curriculum-learning-project

Curriculum Learning Project (Master MVA - ENS Paris-Saclay)

customer_segments

dat8

General Assembly's Data Science course in Washington, DC

data_visualization

dataanalysis

Coursera data analysis course, done in Python

davian-tensorflow

tensorflow tutorial for beginner to intermediate

decisiontrees

Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation

decisiontrees-1

High performance implementations of gradient boosting, random forests, etc. in Go