oo00null

oo00null's Stars

• peng-zhihui/DeepVision

  在我很多项目中用到的CV算法推理框架应用。

  Language:Java1.9k397

• fishaudio/Bert-VITS2

  vits2 backbone with multilingual-bert

  Language:Python8.3k1.2k

• Nukem9/dlssg-to-fsr3

  Adds AMD FSR 3 Frame Generation to games by replacing Nvidia DLSS Frame Generation (nvngx_dlssg).

  Language:C++4.6k175

• chenzomi12/AISystem

  AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

  Language:Jupyter Notebook12.9k1.9k

• torvalds/linux

  Linux kernel source tree

  Language:C190k55.5k

• ZachL1/Bilibili-plus

  课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB

  Language:C++4k1k

• riba2534/TCP-IP-NetworkNote

  📘《TCP/IP网络编程》(韩-尹圣雨)学习笔记

  Language:C2.3k402

• krahets/hello-algo

  《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

  Language:Java110k13.8k

• svc-develop-team/so-vits-svc

  SoftVC VITS Singing Voice Conversion

  Language:Python26.7k4.9k

• mikeroyal/GPU-Guide

  Graphics Processing Unit (GPU) Architecture Guide

  Language:Shell19315

• EbookFoundation/free-programming-books

  :books: Freely available programming books

  Language:HTML353k63.1k

• PKU-YuanGroup/ChatLaw

  ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

  7.2k565

• remzi-arpacidusseau/ostep-code

  Code from various chapters in OSTEP (http://www.ostep.org)

  Language:C3.7k1.4k

• sovit-123/Traffic-Light-Detection-Using-YOLOv3

  Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3

  Language:Jupyter Notebook6417

• diaomina/ticketing

  基于JavaWeb的火车站售票系统

  Language:JavaScript13840

• skywind3000/awesome-cheatsheets

  超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 :zap:

  Language:Shell11.9k2.1k

• PKUFlyingPig/cs-self-learning

  计算机自学指南

  Language:HTML61.2k7.1k

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python53k16.8k

• WalkerLau/Accelerating-CNN-with-FPGA

  This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

  Language:C++748190

• cxdzyq1110/posture_recognition_CNN

  To help machines learn what we human beings are doing via a camera is important. Once it comes true, machines can make different responses to all kinds of human's postures. But the process is very difficult as well, because usually it is very slow and power-consuming, and requires a very large memory space. Here we focus on real-time posture recognition, and try to make the machine "know" what posture we make. The posture recognition system is consisted of DE10-Nano SoC FPGA Kit, a camera, and an HDMI monitor. SoC FPGA captures video streams from the camera, recognizes human postures with a CNN model, and finally shows the original video and classification result (standing, walking, waving, etc.) via HDMI interface.

  Language:Verilog5217