Stars
Pretrained ImageNet-1k linear classification heads for DINOv3 ViT (S/S+/B/L/H+).
Matplotlib styles for scientific plotting
Save/Load files from NetKet, flax and other scientific ML libraries
A Python package to learn the Koopman operator.
Plugin for obsidian that automatically generates virtual links for text within your notes that match with the titles or aliases of other notes in your vault.
Algorithms for computations on random manifolds made easier
An assistant for users of the Johnny Decimal file organization system.
Generic library for neural collapse and several derivative works on the phenomenon.
PyTorch-based library for various kinds of representational-similarity analysis
A package for computing data-driven approximations to the Koopman operator.
Export Obsidian notes to Quarto-compatible QMD files.
A tiny Rust library that allows you to easily obtain selected text across all platforms (macOS, Windows, Linux).
mathLab / PyDMD
Forked from PyDMD/PyDMDmathLab mirror of Python Dynamic Mode Decomposition
Solve puzzles. Improve your pytorch.
Understanding how features learned by neural networks evolve throughout training
A curated list of trustworthy deep learning papers. Daily updating...
CoreNet: A library for training deep neural networks
A blazing fast dict subclass that supports dot access notation.
A minimal GPU design in Verilog to learn how GPUs work from the ground up
Code for creating maximal activation images (like Deep Dream) in pytorch with various regularizations / losses.
A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
A guide to improve your research proposals.
This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.