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Language: Python
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An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
A generative speech model for daily dialogue.
State-of-the-art 2D and 3D Face Analysis Project
🚀 基于 LLM 大语言模型的知识库问答系统。开箱即用、模型中立、灵活编排,支持快速嵌入到第三方业务系统,1Panel 官方出品。
bottle.py is a fast and simple micro-framework for python web-applications.
🔥 2D and 3D Face alignment library build using pytorch
🛡️ Windows Hello™ style facial authentication for Linux
Collection of Open Source Projects Related to GPT,GPT相关开源项目合集🚀、精选🔥🔥
Web interface for browsing, search and filtering recent arxiv submissions
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
CODO是一款为用户提供企业多混合云、一站式DevOps、自动化运维、完全开源的云管理平台、自动化运维平台
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
Chinese Translation for Machine Learning Infographics
Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.
📖《Python Parallel Programming Cookbook》中文版
CMDB: configuration and management of IT resources
A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018
Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)
基于centos6+python3.6+django2+ansible2.4+celery4.2 运维管理系统,目前实现功能:用户和用户组管理、资产管理、集成ansible2.4、简易堡垒机(主机分配支持rdp以及vnc、用户分配、文件上传下载、配置禁用命令清单、操作录像回放功能)、CI/CD(支持git仓库和svn仓库)、数据库管理(一部分)、celery任务编排、知识库及文件共享
💎 Detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).
libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognit…
A open-source server emulator for Mario Royale browser game.
旨在提供统一的云资源和日常操作管控,解决了在运维多云、多账号、多业务、多地域的情况下所面临的差异化操作挑战。用户可以轻松地管理跨多个云服务提供商、多个账号、多个业务线以及多个地域的云资源。实现了资源层面的运维流程标准化,提高运维效率并降低操作复杂度。