Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

Taming Transformers for High-Resolution Image Synthesis

build-once run-anywhere c library

Enoki: structured vectorization and differentiation on modern processor architectures

Dr.Jit — A Just-In-Time-Compiler for Differentiable Rendering

3D Gaussian Splatting in JAX

Tile primitives for speedy kernels

Python wrapper for ATLAS-9/SYNTHE

vidmapy - python wrapper for Kurucz's ATLAS/SYNTHE codes

Machine Learning Engineering Open Book

[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

An open-source wildfire simulator written in Python and meant to be used to train reinforcement learning (RL) agents.

Karras et al. (2022) diffusion models for PyTorch

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

PyTorch Image Quality Assessement package

Compare neural networks by their feature similarity

Code for Leung, Bovy, Mackereth & Miglio 2023

A Rust implementation of Glidesort, my stable adaptive quicksort/mergesort hybrid sorting algorithm.

Extract annotations (highlights and scribbles) from PDF, EPUB, and notebooks marked with reMarkable tablets. Export to Markdown, PDF, PNG, SVG

Probabilistic random forest regression algorithm

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Image restoration with neural networks but without learning.

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

Repository of Various Test & Implementation of Generative Models

This is the repository for the distill web framework

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

Interactive Markov-chain Monte Carlo Javascript demos