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A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
📖 Heuristics for effective management
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
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.
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"
A curated and opinionated list of resources for startup founders and leaders of high-growth companies
[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
Marble - the real time decision engine for fraud and AML
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