Jeff Shen (al-jshen)

al-jshen

Geek Repo

Company:Princeton University

Home Page:jshen.net

Github PK Tool:Github PK Tool


Organizations
astro-data-lab
DragonflyTelescope
MultimodalUniverse
PolymathicAI
PrincetonUniversity

Jeff Shen's starred repositories

taming-transformers

Taming Transformers for High-Resolution Image Synthesis

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cosmopolitan

build-once run-anywhere c library

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Enzyme

High-performance automatic differentiation of LLVM and MLIR.

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enoki

Enoki: structured vectorization and differentiation on modern processor architectures

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drjit

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

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jaxsplat

3D Gaussian Splatting in JAX

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ThunderKittens

Tile primitives for speedy kernels

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BasicATLAS

Python wrapper for ATLAS-9/SYNTHE

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vidmapy

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

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ml-engineering

Machine Learning Engineering Open Book

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dyffusion

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

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simfire

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

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k-diffusion

Karras et al. (2022) diffusion models for PyTorch

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vqvae

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

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piqa

PyTorch Image Quality Assessement package

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PyTorch-Model-Compare

Compare neural networks by their feature similarity

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astroNN_ages

Code for Leung, Bovy, Mackereth & Miglio 2023

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glidesort

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

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remarks

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

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prfr

Probabilistic random forest regression algorithm

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Restormer

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

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deep-image-prior

Image restoration with neural networks but without learning.

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noise2noise

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

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Generative-Models

Repository of Various Test & Implementation of Generative Models

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template

This is the repository for the distill web framework

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Kalman-and-Bayesian-Filters-in-Python

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 filters, and more. All exercises include solutions.

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SciMLBook

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

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mcmc-demo

Interactive Markov-chain Monte Carlo Javascript demos

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