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2023-getting-started-with-ai-on-supercomputers

2023 Getting Started on AI on Supercomputers

a-guide-to-deep-learning

📚 A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/

advancepytorchgeometrictutorials

here you can find the material used for our Tutorials

alphatensor

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

anomaly-detection-iot

Anomaly Detection In An IoT-Acquired Environmental Sensor Data

applied-machine-learning-and-high-performance-computing-on-aws

Applied Machine Learning and High-Performance Computing on AWS, published by packt

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

apptainer

Apptainer: Application containers for Linux

asciidoctor-intellij-plugin

AsciiDoc plugin for products on the IntelliJ platform (IDEA, RubyMine, etc)

autogl

An autoML framework & toolkit for machine learning on graphs.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-efficient-gnn

Efficient Graph Neural Networks - a curated list of papers and projects

awesome-mlss

List of summer schools in machine learning + related fields across the globe

awesome-public-datasets

A awesome list of (large-scale) public datasets on the Internet. (On-going collection)

bash-cheat-sheet

A cheat sheet for bash commands.

batchspawner-jupyterhub

Custom Spawner for Jupyterhub to start servers in batch scheduled systems

benchmark-glicid-cluster

benchmarking-gnns

Repository for benchmarking graph neural networks

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

blog_code

A repo for holding example code

bottleneck

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

build-three-real-world-python-applications-4379002

This repo is for the LInkedin Learning course: Build Three Real-World Python Applications

class-imbalance

Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).

classification-algorithms

Common classification algorithms implemented in Python.

clrs

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

code-review-tips

:microscope: Common problems to look for in a code review

code-vault

Collection of useful notebooks and snippets

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy