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Type: Organization
《用Python做贝叶斯分析》
My Books Resource about ML and other subjects. I will add books and papers regularly.
:books: books
brat rapid annotation tool (brat) - for all your textual annotation needs
A high performance and generic framework for distributed DNN training
Caffe on both Linux and Windows
A UI-first centralized authentication / Single-Sign-On (SSO) platform supporting OAuth 2.0 / OIDC and SAML, QQ group: 645200447
A library of sklearn compatible categorical variable encoders
Chinese Data Competitions' Solutions
CloudSim: A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services
This is code of book "Learn Deep Learning with PyTorch"
Colossal-AI: A Unified Deep Learning System for Big Model Era
End-to-end Projector Photometric Compensation
A collection of resources for Recommender Systems (RecSys)
Curve is a high-performance, lightweight-operation, cloud-native open source distributed storage system. Curve can be applied to: 1) mainstream cloud-native infrastructure platforms OpenStack and Kubernetes; 2) high-performance storage for cloud-native databases; 3) cloud storage middleware using S3-compatible object storage as a data storage engine, providing cost-effective shared file storage.
Data Science Using Python
Data competition Top Solution 数据竞赛top解决方案开源整理
Goal of this repo is to provide solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
数据科学的笔记以及资料搜集
Books for machine learning, deep learning, math, NLP, CV, RL, etc
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning with PyTorch, published by Packt
Benchmarking Deep Learning operations on different hardware
Python for “Deep Learning”,《深度学习》(花书) 数学推导、原理剖析与源码级代码实现
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
A collection of various deep learning architectures, models, and tips
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Modularized Implementation of Deep RL Algorithms in PyTorch
The basic distribution probability Tutorial for Deep Learning Researchers
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.