HUAWEI Noahs Ark Lab - GitHub Working with and contributing to the open source community in data mining, artificial intelligence, and related fields - HUAWEI Noah's Ark Lab
GitHub - huawei-noah SMARTS: Scalable Multi-Agent RL Training School . . . Its focus is on realistic and diverse interactions It is part of the XingTian suite of RL platforms from Huawei Noah's Ark Lab Check out the paper at SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
GitHub - huawei-noah vega: AutoML tools chain Industry-leading AutoML algorithms: Provides Noah's Ark Laboratory's self-developed industry-leading algorithm (Benchmark) and Model Zoo to download the state-of-the-art (SOTA) models
GitHub - huawei-noah benchmark This repository contains some benchmark related code released by Huawei Noah's Ark Lab FuxiCTR: An open-source tool for benchmarking existing CTR prediction models
GitHub - huawei-noah Federated-Learning The repository is for federated learning and transfer learning projects inside Huawei Noah's Ark Lab Currently it includes: FairFL: a fair federated learning benchmarking framework that implements existing fair FL algorithms in the paper "Proportional Fairness in Federated Learning" by Guojun Zhang, Saber Malekmohammadi, Xi Chen and Yaoliang Yu