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Stable Diffusion web UI
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
😘 让你“爱”上 GitHub,解决访问时图裂、加载慢的问题。(无需安装)
Vundle, the plug-in manager for Vim
🔥 经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
🚀 免费订阅地址,🚀 免费节点,🚀 6小时更新一次,共享节点,节点质量高可用,完全免费。免费clash订阅地址,免费翻墙、免费科学上网、免费梯子、免费ss/v2ray/trojan节点、谷歌商店、翻墙梯子。🚀 Free subscription address, 🚀 Free node, 🚀 Updated every 6 hours, shared node, high-quality n…
This repository contains implementations and illustrative code to accompany DeepMind publications
Exploit Development and Reverse Engineering with GDB & LLDB Made Easy
High-Resolution 3D Human Digitization from A Single Image.
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理(紫龙书)第2版习题答案。
Projects for an undergraduate OS course
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
GNU toolchain for RISC-V, including GCC
Code from various chapters in OSTEP (http://www.ostep.org)
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
涵盖C++ Primer 5th、 effective C++ 、 STL api和demos C++ 基础知识与理论、 智能指针、C++11、 Git教程 Linux命令 Unix操作系统(进程、线程、内存管理、信号)计算机网络、 数据结构(排序、查找)、数据库、、C++对象模型、 设计模式、算法(《剑指offer》、leetcode、lintcode、hihocoder、《王道程序员求职…
Next generation Vim package manager
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882