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thu-ml / SageAttention 10000
Quantized Attention achieves speedup of 2-5x and 3-11x compared to FlashAttention and xformers, without lossing end-to-end metrics across language, image, and video models.
爬虫逆向案例，已完成：TLS指纹｜瑞数｜震坤行 | 网易易盾 | 微信小程序反编译逆向(百达星系) | 同花顺 | rpc解密 | 加速乐 | 极验滑块验证码 | 巨量算数 | Boss直聘 | 企查查 | 中国五矿 | qq音乐 | 产业政策大数据平台 | 企知道 | 雪球网(acw_sc__v2) | 1688 | 七麦数据 | whggzy | 企名科技 | mohurd | 艺恩数据…
fastllm是后端无依赖的高性能大模型推理库。同时支持张量并行推理稠密模型和混合模式推理MOE模型，任意10G以上显卡即可推理满血DeepSeek。双路9004/9005服务器+单显卡部署DeepSeek满血满精度原版模型，单并发20tps；INT4量化模型单并发30tps，多并发可达60+。
A modern Neovim configuration with full battery for Python, Lua, C++, Markdown, LaTeX, and more...
Postcat 是一个可扩展的 API 工具平台。集合基础的 API 管理和测试功能，并且可以通过插件简化你的 API 开发工作，让你可以更快更好地创建 API。An extensible API tool.
Lightweight, fast, stable, and programmable component-based rule engine/process engine. Component reuse, synchronous/asynchronous orchestration, dynamic orchestration, multi-language scripting supp…
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于Spring Boot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
📚 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, in…
Awesome multilingual OCR and Document Parsing toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools,…
《Cracking the Coding Interview, 6th Edition》CtCI中文翻译
提供同花顺客户端/miniqmt/雪球的股票量化交易，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合
TuShare is a utility for crawling historical data of China stocks
The new Windows Terminal and the original Windows console host, all in the same place!
PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS
It is open source ebook about TensorFlow kernel and implementation mechanism.
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
A Tensorflow implementation of Spatial Transformer Networks.
Awesome Knowledge Distillation
Deep Neural Network (DNN) which predicts face/non-face, landmarks, pose and gender simultaneously with Chainer.
Face landmarks(fiducial points) detection benchmark