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lingjun3033's Projects

17python.com icon 17python.com

人生苦短 何不一起Python! 一些Python的学习代码片段记录。

3ddfa icon 3ddfa

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

abu icon abu

阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构

ai-learn icon ai-learn

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

ai-study icon ai-study

人工智能学习资料超全整理,包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

aiyaeffectsandroid icon aiyaeffectsandroid

宝宝特效Demo通过短视频SDK、直播SDK轻松实现特效与视频剪辑,为用户提供特效相机,拍摄辅助,自动美颜相机,抖音滤镜、直播礼物、直播贴纸等,超低占用空间,十秒大型场景仅100KB+, 精准人脸识别、人脸跟踪,支持3D特效,3D动画特效,2D特效、动画渲染、特效渲染等, visual effects IOS demo, support 3D effect, 3D Animation, 2D effect

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

alphatree-graphic-deep-neural-network icon alphatree-graphic-deep-neural-network

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱

anime-inpainting icon anime-inpainting

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复,去马赛克,填补,去瑕疵

carbon icon carbon

:black_heart: Create and share beautiful images of your source code

cartoongan-tensorflow icon cartoongan-tensorflow

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

chinese-ai-developer icon chinese-ai-developer

👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻** AI 开发者项目列表 -- 分享大家都在做什么

comixify icon comixify

End-to-end solution that transforms input video into a comics in just a few seconds

d2l-zh icon d2l-zh

《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。面向中文读者、能运行、可讨论。

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