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80-629

Additional material for 80-629

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima3

Artificial Intelligence: A Modern Approach, Python 3 code

artificial-intelligence-class.github.io

awesome-machine-learning-jupyter-notebooks-for-colab

A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory

azure-databricks-exercise

benchmarking-gnns

Repository for benchmarking graph neural networks

caravel

Studying GPU Multi-tenancy

dataops-docs

Quickly get started with DevOps tools and best practices for building modern data solutions.

datasets

dcos-101

dlatscale_draft

This is an early version of Deep Learning at Scale course for Yandex School of Data Analysis

fedma

Code for Federated Learning with Matched Averaging, ICLR 2020.

files

g2-mlp

g2-MLP: State-of-the-Art Model for Node Classification on Graphs (PPI Dataset)

goodboychan.github.io

jupyter blog

graphmixup

Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"

graphsage

Representation learning on large graphs using stochastic graph convolutions.

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

ml-based-waf

Simple machine learning based web application firewall (WAF) created in python

nlp_course

YSDA course in Natural Language Processing

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

seed-labs

SEED Labs developed in the last 20 years.

ssfg-regularization

SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks

stat212b

Topics Course on Deep Learning UC Berkeley