1210 Open source projects that are alternatives of or similar to Machine Learning Articles

Machine Learning notebooks for refreshing concepts.

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.

Minimal and clean examples of machine learning algorithms implementations

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

darknet neural network addon for openFrameworks

Machine learning and data science blog.

Daily Dose of Neural Network that Everyone Needs

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Scalable Implementation of Deep CFR and Single Deep CFR

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Reinforcement learning with A* and a deep heuristic

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Machine learning algorithms for many-body quantum systems

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

Deep Reinforcement Learning for Keras.

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

🍃 Using a Neural Network to improve web accessibility in JavaScript.

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

AIXIjs - General Reinforcement Learning in the Browser

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

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Grokking Deep Reinforcement Learning

Plain python implementations of basic machine learning algorithms

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

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

Unity Machine Learning Agents Toolkit

Machine learning, in numpy

How to use TensorLayer

RLgraph: Modular computation graphs for deep reinforcement learning

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

a delightful machine learning tool that allows you to train, test, and use models without writing code

TensorFlow and Deep Learning Tutorials

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

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.

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

A curated list of Monte Carlo tree search papers with implementations.

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Repo for the Deep Reinforcement Learning Nanodegree program

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

DN2A - Digital Neural Networks Architecture

Deep Learning Specialization by Andrew Ng on Coursera.

A Configurable Recommender Systems Simulation Platform

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

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Arnold - DOOM Agent

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A curated list of awesome links and software libraries that are useful for robots.

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

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Implementations of Reinforcement Learning Models in Tensorflow

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain