Lists (18)
AI 🤖
Collection of open-source repositories that I find interesting in the field of Artificial intelligence.Astrophysics ✴️
Brain Xanax 💊
List of repositories related to study materials, notes and books.++C++C++C++C++C++C++C++C++C++C++
Computational Stuff 🧮
Computer Graphics 🎨
Collection of Computer Graphics repositories.CUDA ⚡
editors ✍🏼
JAX ecosystem 🌄
Packages, Projects, and Programs based on JAXJulia Gang 🔵🔴🟢🟣
Linux 🐧
LISA Science 🔭
Repositories of sciences and codes related to the Laser Interferometer Space Antenna (LISA).Neural ODEs
professional endeavour 🏢
Python 🐍
Quantum Computing 
Rusty crabs 🦀
Repos related to Rust LangTypesettings 🧈
Stars
OpenEquivariance: a fast, open-source GPU JIT kernel generator for the Clebsch-Gordon Tensor Product.
A lightweight framework for building Physics-Informed Neural Networks (PINNs) with symbolic PDE definitions using SymPy and automatic differentiation in PyTorch. It provides flexible neural archite…
Mirror of https://gitlab.redox-os.org/redox-os/redox
An Optax-based JAX implementation of the IVON optimizer for large-scale VI training of NNs (ICML'24 spotlight)
Slide decks, coding exercises, and quick references for learning the JAX AI Stack
physica: vectors, fields, differentials, derivatives, Dirac brakets, tensors, and more. See examples in the manual PDF.
A collection of implementations of various computational science concepts and algorithms. Comments/improvements/criticisms are welcomed!
Tools for The Book of Statistical Proofs
Text threading and image wrap-around for Typst
Population Estimation for LISA in A Reverse-jump Global Inference Regime (PELARGIR). A prototype for population inference for LISA in a Global Fit setting.
Resources for education in statistics and machine learning: from advanced undergraduate to research level
A versatile, clean and minimal template for non-fiction writing. Ideal for class notes, reports, and books.
The Family of Diffusion Protein Language Models (DPLM)
Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.
Muon is an optimizer for hidden layers in neural networks
A curated list of seminal and influential research papers in artificial intelligence, covering key topics in machine learning, deep learning, NLP, computer vision, reinforcement learning, and AI et…
Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, solvers for geometric PDEs. Also, includes weights of pretrain…
Gravitational-wave population inference allowing narrow population features with minimal edge bias
Detecting binary black hole mergers in LIGO with neural networks
Like Karpathy's micrograd but following JAX's functional style
A comprehensive book on neural networks and large language models in NLP