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In this paper, we apply machine learning to create bots for Halite III, @twosigma's annual A.I. competition. We develop one classifier using Support Vector Machine with Supervised Learning, and one…
NetworkGym is a Simulation-aaS framework to support Network AI algorithm development by providing high-fidelity full-stack e2e network simulation in cloud and allowing AI developers to interact wit…
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
A Python-embedded modeling language for convex optimization problems.
A unified framework for machine learning with time series
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
[IJCAI'24 - FlagVNE] Implementation of our paper "FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation", accepted by IJCAI 2024.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
A constant throughput, correct latency recording variant of wrk
A Python tool to enforce dependencies, using modular architecture 🌎 Open source 🐍 Installable via pip 🔧 Able to be adopted incrementally - ⚡ Implemented with no runtime impact ♾️ Interoperable with…
A Lightweight Hierarchical Orchestration Framework for Edge Computing
A benchmark to test decision-making algorithms for contextual-bandits. The library implements a variety of algorithms (many of them based on approximate Bayesian Neural Networks and Thompson sampli…
A toolkit for developing and comparing reinforcement learning algorithms.
Simu5G - 5G NR and LTE/LTE-A user-plane simulation model for OMNeT++ & INET
Deep Reinforcement Learning for Continuous Control in PyTorch
RadioSaber is State-of-the-Art 5G RAN slicing algorithm that achieves high spectrum efficiency, ensures weighted fairness across slices, and allows slices to customize scheduling policies.
🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-play…