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Langtrace 🔍 is an open-source, Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vector…

An Awesome list of curated DSPy resources.

Power analysis and AB test analysis library

Codebase for www.awsdocsgpt.com (AI-powered Search and Chat for AWS Documentation)

Bandit algorithms simulations for online learning

Extra Python Collections - bags (multisets), setlists (unique list / indexed set), RangeMap and IndexedDict

A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-ar…

Exploring some common bandit algorithms

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

An illustrative project including some multi-armed bandit algorithms and contextual bandit algorithms

In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandits) and Kernel UCB. Some of the well cited papers in this con…

Library of contextual bandits algorithms

Implementations and examples of common offline policy evaluation methods in Python.

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

Standard Go Project Layout

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

An elegant PyTorch deep reinforcement learning library.

Accompanying repository for Unsupervised Active Domain Randomization in Goal-Directed RL

Hierarchical Self-Play

PyTorch implementation of Memory Augmented Self-Play

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

Python library for Reinforcement Learning.

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

PyTorch implementations of deep reinforcement learning algorithms and environments

For deep RL and the future of AI.