dmarx
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Pedagogical
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
Refactoring dalle-pytorch and taming-transformers for TPU VM
Tutorials for DIP course
This is an official pytorch implementation of Fast Fourier Convolution.
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
Simple image captioning model
CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.
A local development data science workbench for integrating production-like workflows
Try out deep learning models online on Google Colab
Understanding the Difficulty of Training Transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
RL environment replicating the werewolf game to study emergent communication
♾️ CML - Continuous Machine Learning | CI/CD for ML