Stars
Data descriptor and sample notebooks for the Emory Breast Imaging Dataset (EMBED) hosted on the AWS Open Data Program
Examples on how to use various LLM providers with a Wine Classification problem
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …
Data and code for the Algonauts Project 2025 challenge.
🏅 Collection of Kaggle Solutions and Ideas 🏅
A collection of learning resources for curious software engineers
Learn LeetCode and prepare for coding interviews with free resources.
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
Understanding Deep Learning - Simon J.D. Prince
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.
Python package for extracting representations from state-of-the-art computer vision models
Computational neuroscience exercises - a small, personal project for the book Theoretical Neuroscience by Dayan & Abbott
Attention in a family of Boltzmann machines emerging from modern Hopfield networks
repo for code for paper on general theory associative memory models
A playbook for systematically maximizing the performance of deep learning models.
Documentation for Ross Wightman's timm image model library
Examples and guides for using the OpenAI API
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A Python library for plotting hockey rinks with Matplotlib.
All course materials for the Zero to Mastery Machine Learning and Data Science course.
You like pytorch? You like micrograd? You love tinygrad! ❤️