hengC-137

hengC-137's Stars

• qwopqwop200/GPTQ-for-LLaMa

  4 bits quantization of LLaMA using GPTQ

  Language:Python3k455

• grmaple/cpp_mianshi

  这个项目主要用作C++开发面试相关知识学习。

  Language:C++275

• mit-han-lab/smoothquant

  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

  Language:Python1.2k131

• buddy-compiler/buddy-mlir

  An MLIR-based compiler framework bridges DSLs (domain-specific languages) to DSAs (domain-specific architectures).

  Language:C++470157

• chengxumiaodaren/cpp-learning

  Language:C++2.8k434

• zchrissirhcz/pixel

  Image processing library for learning purpose

  Language:C539

• WeNeedHome/SummaryOfLoanSuspension

  全国各省市停贷通知汇总

  Language:HTML20.4k2.1k

• ritajie/incomplete-projects

  统计**大陆的烂尾楼

  Language:Python31224

• CLUEbenchmark/CLUEPretrainedModels

  高质量中文预训练模型集合：最先进大模型、最快小模型、相似度专门模型

  Language:Python79697

• huihongxiao/MIT6.S081

  2.4k390

• huihut/interview

  📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

  Language:C++34.2k7.9k

• D-X-Y/landmark-detection

  Four landmark detection algorithms, implemented in PyTorch.

  Language:Python920182

• biubug6/Pytorch_Retinaface

  Retinaface get 80.99% in widerface hard val using mobilenet0.25.

  Language:Python2.6k756

• msnh2012/Msnhnet

  🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

  Language:C++741146

• CnTransGroup/EffectiveModernCppChinese

  《Effective Modern C++》- 完成翻译

  7.6k1.1k

• ainrichman/Peppa-Facial-Landmark-PyTorch

  Facial Landmark Detection based on PyTorch

  Language:Python20855

• WhiteIsClosing/Android-Parallel-Image-Processing

  Samples for using OpenCL process image on Android

  Language:C112

• googlesamples/vulkan-basic-samples

  Language:C++494116

• flame/how-to-optimize-gemm

  Language:C1.7k351

• Tencent/TNN

  TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

  Language:C++4.4k765

• Glavnokoman/vuh

  Vulkan compute for people

  Language:C++34634

• Erkaman/vulkan_minimal_compute

  Minimal Example of Using Vulkan for Compute Operations. Only ~400LOC.

  Language:C++71071

• SaschaWillems/Vulkan

  C++ examples for the Vulkan graphics API

  Language:GLSL10.1k2k

• kishorepv/detect-eye-state

  A deep learning model to detect state of eye (open/close) in image/video

  Language:Jupyter Notebook112

• kairess/eye_blink_detector

  Eye blink(Closeness-Openess) detection using CNN (Keras)

  Language:Jupyter Notebook8252

• njvisionpower/Safety-Helmet-Wearing-Dataset

  Safety helmet wearing detect dataset, with pretrained model

  Language:Python1.4k405

• TianxingWu/realtime-glasses-detection

  Eyeglasses detection for real-time videos based on face alignment with Dlib and OpenCV-Python

  Language:Python11036

• facebookresearch/supervision-by-registration

  Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

  Language:Python759165

• 610265158/Peppa_Pig_Face_Landmark

  A simple face detect and alignment method, which is easy and stable.

  Language:Python520116

• guoqiangqi/PFLD

  Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf

  Language:Python626166