6701 Open source projects that are alternatives of or similar to Machine Learning Concepts

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

All Machine Learning Algorithms

Reinforcement learning with A* and a deep heuristic

OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

Basic Machine Learning implementation with python

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ugtm: a Python package for Generative Topographic Mapping

A modular active learning framework for Python

This is Andrew NG Coursera Handwritten Notes.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Regression, Scrapers, and Visualization

Six snippets of code that made deep learning what it is today.

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

Machine learning plugins for network traffic

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

Collection of notebooks about quantitative finance, with interactive python code.

Snips Python library to extract meaning from text

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Python learning to rank (LTR) toolkit

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.

mlpack: a scalable C++ machine learning library --

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Introduction to Data Science

100 Days of ML Coding

Daily Dose of Neural Network that Everyone Needs

A collection of notebooks of my Machine Learning class written in python 3

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

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

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

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。

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

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

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Deep Learning From Scratch

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

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

机器学习与深度学习算法示例

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

A repo with tutorials for algorithms from scratch

A high-level machine learning and deep learning library for the PHP language.

Datasets, tools, and benchmarks for representation learning of code.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Makine Öğrenmesi Türkçe Kaynak

machine learning

Open-source implementation of Google Vizier for hyper parameters tuning

🙄 Difficult algorithm, Simple code.

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Lending Club Loan data analysis

General Assembly's 2015 Data Science course in Washington, DC

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities