All Algorithms implemented in Python

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

All Algorithms implemented in Java

Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.

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

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.

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

All Algorithms implemented in Rust

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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

Torch implementation of neural style algorithm

Algorithms and Data Structures implemented in Go for beginners, following best practices.

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

PRML algorithms implemented in Python

Minimal and clean examples of machine learning algorithms implementations

CryptoSwift is a growing collection of standard and secure cryptographic algorithms implemented in Swift

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

All algorithms implemented in C#.

💻 JavaScript implementations of computer science algorithms

🥞Data Structures and Algorithms explained and implemented in JavaScript + eBook

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.

PyTorch implementations of deep reinforcement learning algorithms and environments

An implementation of Shazam's song recognition algorithm.

A Python implementation of LightFM, a hybrid recommendation algorithm.

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Algorithms and Data Structures implemented in Java