Mir Junaid's Projects
2023 Getting Started on AI on Supercomputers
š A detailed guide to deep learning: http://yerevann.com/a-guide-to-deep-learning/
here you can find the material used for our Tutorials
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Anomaly Detection In An IoT-Acquired Environmental Sensor Data
Applied Machine Learning and High-Performance Computing on AWS, published by packt
š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Apptainer: Application containers for Linux
AsciiDoc plugin for products on the IntelliJ platform (IDEA, RubyMine, etc)
An autoML framework & toolkit for machine learning on graphs.
A curated list of awesome Deep Learning tutorials, projects and communities.
Efficient Graph Neural Networks - a curated list of papers and projects
List of summer schools in machine learning + related fields across the globe
A awesome list of (large-scale) public datasets on the Internet. (On-going collection)
A cheat sheet for bash commands.
Custom Spawner for Jupyterhub to start servers in batch scheduled systems
Repository for benchmarking graph neural networks
š A ranked list of awesome machine learning Python libraries. Updated weekly.
A repo for holding example code
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
This repo is for the LInkedin Learning course: Build Three Real-World Python Applications
A node agent for measuring, processing and forwarding node level metrics
Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
Common classification algorithms implemented in Python.
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
:microscope: Common problems to look for in a code review