All Categories → Machine Learning → machine-learning-algorithms

Top 305 machine-learning-algorithms open source projects

Ml Lib

An extensive machine learning library, made from scratch (Python).

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Sdr Densenet Pytorch

Stochastic Delta Rule implemented in Pytorch on DenseNet

✭ 102

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Themlbook

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

✭ 1,375

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Nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Btctrading

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

✭ 99

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Budget

A simply budget app that predicts where the expenses are being made

✭ 100

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Verse

Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures

✭ 98

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Papers Literature Ml Dl Rl Ai

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

✭ 1,341

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Machinelearning

A repo with tutorials for algorithms from scratch

✭ 96

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Machine Learning Algorithms

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

✭ 92

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Lda Topic Modeling

A PureScript, browser-based implementation of LDA topic modeling.

✭ 91

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Botpress

🤖 Dev tools to reliably understand text and automate conversations. Built-in NLU. Connect & deploy on any messaging channel (Slack, MS Teams, website, Telegram, etc).

Machine Learning Numpy

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

✭ 90

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Paramonte

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

✭ 88

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Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

Makine Ogrenmesi

Makine Öğrenmesi Türkçe Kaynak

✭ 82

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Openml R

R package to interface with OpenML

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Machine Learning Without Any Libraries

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

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Mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

✭ 8,733

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Networkml

Machine learning plugins for network traffic

✭ 73

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Smqtk

Python toolkit for pluggable algorithms and data structures for multimedia-based machine learning.

✭ 69

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Hackerrank

This is the Repository where you can find all the solution of the Problems which you solve on competitive platforms mainly HackerRank and HackerEarth

✭ 68

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Modal

A modular active learning framework for Python

✭ 1,148

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Wdk

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

✭ 68

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Awesome machine learning solutions

A curated list of repositories for my book Machine Learning Solutions.

✭ 65

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Fromscratch

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Edgeml

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

✭ 1,093

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Ds and ml projects

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

✭ 56

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Whitehat

Information about my experiences on ethical hacking 💀

✭ 54

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25daysinmachinelearning

I will update this repository to learn Machine learning with python with statistics content and materials

✭ 53

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Php Ml

PHP-ML - Machine Learning library for PHP

✭ 7,900

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Play With Machine Learning Algorithms

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

✭ 1,037

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Machine Learning From Scratch

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

✭ 42

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Bipropagation

✭ 41

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Minerva Training Materials

Learn advanced data science on real-life, curated problems

✭ 37

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Stock Price Trade Analyzer

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

✭ 35

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Innovative Hacktober

Make a pull request. Let's hack the ocktober in an innovative way.

✭ 34