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minizincu

Extensions of the Contraint modelling language MiniZinc

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

movie-database

mymedialite

recommender system library for the CLR (.NET)

negativeconstraints

How to deal with negative constraints and reif constraints.

pertmodeling

PertModeling is a Pert technique simulation tool

programming-collective-intelligence-code

Examples from Programming Collective Intelligence

projects

:page_with_curl: A list of practical projects that anyone can solve in any programming language.

projects-solutions

:pager: Links to others' solutions to Projects (https://github.com/karan/Projects/)

public-apis

A collective list of free APIs for use in software and web development.

pyfastdiagp

Python implementation of FastDiagP

pyfastdiagp-ver2

Python FastDiagP implementation

pysat_metamodel

This repository will host the pysat metamode and its operation implementation

python

All Algorithms implemented in Python

qmtest

Multiple-choice test software integrated evaluation module

realworld

"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more 🏅

recommendation

Collaborative filtering for recommender system

recommender-extension

This is the repository with the Recommender extension source code developed on the Ruđer Bošković Institute as part of e-LICO FP7 project. Extension is based on the MyMediaLite Recommender System Library.

recommender-system

Movie recommender system based on an exercise from ml-class.org

recommender_system-1

Recommender system algorithms

recommendersystem

Using Qt, Python, Bash

recsys

The algorithms about Recommender System, such as PMF, PLSA, ALS, RBM and so on.

rime

RIME - A MSS (MCS) enumeration tool

roadmap.sh

Community driven roadmaps, articles and resources for developers

schellingmodel

Schelling Model

separatearray

Chương trình tách một mảng ra thành hai mảng sao cho độ chênh lệch giữa tổng hai mảng là nhỏ nhất

showdown

A Markdown to HTML converter written in Javascript

sourcecodeofdevelopingios10appswithswiftcourse-stanford

Source code of Developing iOS 10 Apps with Swift Course - Stanford

splc2021

Companion repository for SPLC 2021 paper

splc2021-1