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A curated list of awesome Deep Learning tutorials, projects and communities.
A beer recommendation system using multi-armed bandit approach to solve cold start problems
ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
computer vision projects | 计算机视觉相关好玩的AI项目(Python、C++)
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Open source deep learning based fine-grained image recognition toolbox built on PyTorch🔥
Repository for the Lux AI Challenge, season 2. Hosted on @kaggle
[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library
Next version of roadmap.sh
The easiest way to orchestrate and observe your data pipelines
Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
PyTorch tutorials.
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.