Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
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Published by ArthurJiang about 4 years ago
Rats is a collection of tools to help researchers define and run experiments. It is designed to b...
MLOps examples
Workshops created by the Cloud Advocacy team at Microsoft.
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top...
Platform for Situated Intelligence
Foundation Architecture for (M)LLMs
Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Mo...
AICI: Prompts as (Wasm) Programs
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documen...
Tutel MoE: An Optimized Mixture-of-Experts Implementation
Repo for WWW 2022 paper: Progressively Optimized Bi-Granular Document Representation for Scalable...
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI &...