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
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 &...
Community for applying LLMs to robotics and a robot simulator with ChatGPT integration
MLOps examples
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documen...
Workshops created by the Cloud Advocacy team at Microsoft.
Rats is a collection of tools to help researchers define and run experiments. It is designed to b...
Platform for Situated Intelligence
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top...
Foundation Architecture for (M)LLMs
Tutel MoE: An Optimized Mixture-of-Experts Implementation
AICI: Prompts as (Wasm) Programs
Code associated with our paper "Learning Visuomotor Policies for Aerial Navigation Using Cross-Mo...