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Alex's Projects

3d-pose-baseline icon 3d-pose-baseline

A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.

affine icon affine

There can be more than Notion and Miro. AFFiNE is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.

agentocr icon agentocr

一个多语言支持、易使用的 OCR 项目。An easy-to-use OCR project with multilingual support.

agriculture_knowledgegraph icon agriculture_knowledgegraph

农业知识图谱(AgriKG):农业领域的信息检索,命名实体识别,关系抽取,智能问答,辅助决策

airsim icon airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

algorithm-pattern icon algorithm-pattern

算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~

amazing-qr icon amazing-qr

💮 amazing QRCode generator in Python (supporting animated gif) - Python amazing 二维码生成器(支持 gif 动态图片二维码)

app-ideas icon app-ideas

A Collection of application ideas which can be used to improve your coding skills.

atom icon atom

:atom: The hackable text editor

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome icon awesome

😎 Awesome lists about all kinds of interesting topics

awesome-courses icon awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-deeplearning icon awesome-deeplearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

awesome-face_recognition icon awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-go icon awesome-go

A curated list of awesome Go frameworks, libraries and software

awesome-model-quantization icon awesome-model-quantization

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

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