Open Source Computer Vision Library

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural Architecture Search.

CMSIS-DSP embedded compute library for Cortex-M and Cortex-A

μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.

"Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics" by Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, and Zhangyan…

[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang

Transform ONNX model to PyTorch representation

Convert onnx models to pytorch.

Device Tree Overlays for Seeed boards

Demo for training a convolutional neural network to classify words and deploy the model to a Raspberry Pi using TensorFlow Lite.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

NeHe OpenGL tutorials in Qt4