Efficient-Computing

Efficient computing methods developed by Huawei Noah's Ark Lab

最近更新: 7天前

Pruning

Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network Pruning" (...

最近更新: 7天前

Efficient-AI-Backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

最近更新: 7天前

Speech-Backbones

This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

最近更新: 7天前

Binary-Neural-Networks

Binary neural networks developed by Huawei Noah's Ark Lab

最近更新: 7天前

xingtian

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

最近更新: 7天前

multi_hyp_cc

[CVPR2020] A Multi-Hypothesis Approach to Color Constancy

最近更新: 7天前

trustworthyAI

Trustworthy AI related projects

最近更新: 7天前

AdderNet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

最近更新: 7天前

streamDM

Stream Data Mining Library for Spark Streaming

最近更新: 7天前

CV-backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

最近更新: 7天前

noah-research

Noah Research

最近更新: 7天前

benchmark

最近更新: 7天前

vega

AutoML tools chain

最近更新: 7天前

GAN-pruning

Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network Pruning" (...

最近更新: 7天前

LegoNet

A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).

最近更新: 7天前

Full-Stack-Filters

Pytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs

最近更新: 7天前

streamDM-Cpp

stream Machine Learning in C++

最近更新: 7天前

KD-NLP

最近更新: 7天前

SMARTS

Scalable Multi-Agent RL Training School for Autonomous Driving

最近更新: 7天前
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