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An index of algorithms for offline reinforcement learning (offline-rl) targeting AI and ML researchers.
This repository contains code and material for a book on deep learning and the game of Go, focused on the AlphaGo and AlphaGo Zero algorithms.
A real-time and collaborative editing library for JSON data models, with a focus on CRDT implementation.
A Python library for implementing reinforcement learning algorithms.
Comprehensive collection of optimized competitive programming templates and algorithms in C++.
A TensorFlow implementation of Neural Turing Machines, a class of models that can learn algorithms.
This repository contains projects on various arbitrage strategies, including dual listing, options, and statistical arbitrage.
A collection of Reinforcement Learning algorithms implemented in Python for educational and research purposes.
A curated list of gradient boosting research papers with implementations in Python.
A comprehensive collection of frontend knowledge, algorithms, and interview questions for developers.
An open-source compression benchmark tool that allows developers to test and compare the performance of various compression algorithms.
A DOM-merging algorithm for developers building web applications with AI tools.
A 3D Gaussian Splatting framework with various derived algorithms and an interactive web viewer.
A Rust library for various pathfinding algorithms, including A*, Dijkstra, and more.
A comprehensive library of data structures and algorithms implemented in ES6 JavaScript for developers.
A Python library for implementing the Louvain community detection algorithm on graphs.
A Python library for benchmarking generalized out-of-distribution detection algorithms.
A Python implementation of the Simhash algorithm for near-duplicate detection.
A companion repository for the book 'GANs in Action: Deep learning with Generative Adversarial Networks'.
An implementation of the Redlock algorithm in C# for distributed locking using Redis.
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