Highlights
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Starred repositories
Implementation for the paper 'Beyond sparse denoising in frames: minimax estimation with a scattering transform'.
Official PyTorch implementation for "Large Language Diffusion Models"
Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"
A library for efficient similarity search and clustering of dense vectors.
Code to solve DMFT equations for infinite width feature learning networks
⭐This is a lightweight kit for generating astrolabes for Zi Wei Dou Shu (The Purple Star Astrology), an ancient Chinese astrology. It allows you to obtain your horoscope and personality analysis. 支…
Implementation of a spectral hyperviscosity method for incompressible Euler.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
SeisBench - A toolbox for machine learning in seismology
Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"
Reimplementation of Equi-separation Law
GaMMA: Earthquake Phase Association using a Bayesian Gaussian Mixture Model
A Python library that integrates the Curvelet transform into differentiable programming pipelines, such as PyTorch and JAX.
A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs
Control adaptive filters with neural networks.
Learning to recover orientations from projections in single-particle cryo-EM
Software to generate 2D/3D/4D analytical phantoms and their Radon transforms (parallel beam) for image processing
Miscellaneous geometry modelling programs written in Python
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.