Beast code in Giters

The perfect emulation setup to study and develop the Linux kernel v5.4.3, kernel modules, QEMU, gem5 and x86_64, ARMv7 and ARMv8 userland and baremetal assembly, ANSI C, C++ and POSIX. GDB step debug and KGDB just work. Powered by Buildroot and crosstool-NG. Highly automated. Thoroughly documented. Automated tests. "Tested" in an Ubuntu 24.04 host.

Language:PythonGPL-3.04169 148 181

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

Language:PythonMIT2938 75 169

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Language:PythonNOASSERTION2112 50 1375

lightweight-human-pose-estimation.pytorch

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

Language:PythonApache-2.02087 34 311

awesome-automotive

A curated list of delightful and free automotive engineering resources, looking for contributors ❗

CC0-1.0828 74 3

OpenTOFLidar

Open Source TOF Lidar

Language:CMIT763 47 24

tinyml-papers-and-projects

This is a list of interesting papers and projects about TinyML.

MIT727 58 7

ChampSim

ChampSim is an open-source trace based simulator maintained at Texas A&M University and through the support of the computer architecture community.

Language:C++Apache-2.0500 24 198

Vitis-AI-Tutorials

MIT381 18 77

books

存放重要的文档和电子书

363 12 1

talks

schedule and materials about my presentations

350 100 1

aimet-model-zoo

Language:PythonNOASSERTION295 20 20

awesome-edge-machine-learning

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

Language:PythonNOASSERTION250 24 6

facenet-pytorch-glint360k

A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.

Language:PythonMIT229 8 22