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Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Artificial Intelligence: A Modern Approach, Python 3 code
A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory
Repository for benchmarking graph neural networks
Studying GPU Multi-tenancy
Quickly get started with DevOps tools and best practices for building modern data solutions.
This is an early version of Deep Learning at Scale course for Yandex School of Data Analysis
Code for Federated Learning with Matched Averaging, ICLR 2020.
g2-MLP: State-of-the-Art Model for Node Classification on Graphs (PPI Dataset)
jupyter blog
Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"
Representation learning on large graphs using stochastic graph convolutions.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Simple machine learning based web application firewall (WAF) created in python
YSDA course in Natural Language Processing
Python Data Science Handbook: full text in Jupyter Notebooks
SEED Labs developed in the last 20 years.
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks
Topics Course on Deep Learning UC Berkeley
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.