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各种学习资料,包括一些百度云视频链接还有pdf资料
100-Days-Of-ML-Code中文版
TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification
2017京东金融全球数据探索者大赛(3rd place)
参赛者需要根据给出的基金净值、基金业绩比较基准、对应指数行情、基金间相关性等数据,构建模型、算法进行训练。
2018 CCF大数据与计算智能大赛自动驾驶三维点云分割复赛第四方案
A resource repository for 3D machine learning
3D ResNets for Action Recognition (CVPR 2018)
Personal repo where I keep all the papers, lecture notes and homework readily available for myself.
Learn Deep Reinforcement Learning in depth in 60 days
Approaching (Almost) Any Machine Learning Problem中译版,在线文档地址:https://ytzfhqs.github.io/AAAMLP-CN/
Active learning toolbox for MATLAB
Advanced Deep Learning with Keras, published by Packt
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
Automatically exported from code.google.com/p/altoolbox
Anomaly detection related books, papers, videos, and toolboxes
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
本人在学习transformer模型时所做ppt,讲述了由普通attention到transformer的self-attention相关内容
accessible AutoML for deep learning.
A curated list of resources dedicated to bayesian deep learning
A curated list of awesome resources related to capsule networks
:memo: An awesome Data Science repository to learn and apply for real world problems.
This project is for learning and researching on DRL. This area is so hot that everyday we can see new ideas happen. I would like to give an explicit landscape for deep rl, one reason is for better understanding existed methods and theoretical results, the other is to seek potential developments based on these findings. Any suggestion/improvement is welcomed.
A curated list of deep learning resources for computer vision
A collection of important graph embedding, classification and representation learning papers with implementations.
Materials for Graph Models and Graph Networks
Because keras is awesome.
A curated list of network embedding techniques.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.