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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A collection of learning resources for curious software engineers
You like pytorch? You like micrograd? You love tinygrad! ❤️
Visual analysis and diagnostic tools to facilitate machine learning model selection.
🏀🤖🏀 AI web app and API to analyze basketball shots and shooting pose.
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
A bridge between Lichess bots and chess engines
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen
Python package for extracting representations from state-of-the-art computer vision models
Examples on how to use various LLM providers with a Wine Classification problem
A Python library for plotting hockey rinks with Matplotlib.
repo for code for paper on general theory associative memory models
Analytics report generator that creates a detailed analytics report for a specified player and season in the NHL
A python package for simulation and analysis of dynamic Boolean network models