A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

:book: Heuristics for effective management

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

A curated and opinionated list of resources for startup founders and leaders of high-growth companies

Democracia en Red is focusing on specific implementations of DemocracyOS. We are working now working with governments and activists all over Latin America. If you are interested in our online participation tools you can check them out on our site.

Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines

Low-code tool for automating actions on real time data | Stream processing for the users.

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

Sports betting assistant (with interface) which optimizes earnings regarding odds and offers

Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

High-performance metaheuristics for optimization coded purely in Julia.

Maze Applied Reinforcement Learning Framework

Quizzes & Assignment Solutions for Google Data Analytics Professional Certificate on Coursera. Also included a few resources on side that I found helpful.

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

🚀 A fast safe reinforcement learning library in PyTorch

A selection of state-of-the-art research materials on decision making and motion planning.

A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.

[ICML'25] The PyTorch implementation of paper: "AdaWorld: Learning Adaptable World Models with Latent Actions".

AI framework for Reinforcement Learning, Automated Planning and Scheduling

A lightweight decision making library for game AI.

Easy to Deploy Prediction Market Platform

What/Why people move from this to that.

This repository contains a LLM benchmark for the social deduction game `Resistance Avalon'

Software for creating and analyzing decision trees.

Deep Hierarchical Planning from Pixels