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
Neural density estimators with Normalising Flow used for LISA
A stand-alone implementation of several NumPy dtype extensions used in machine learning.
Code for compact binary mergers population anlysis
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
Compute Natural Breaks in Python (Fisher-Jenks algorithm)
Model-agnostic analysis of stochastic signals in LISA
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy
Next generation MCMC samplers with automatic differentiaion and adaptive Poisson thinning
CLI interface for running SQL queries with Polars as backend
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Normalizing flows in PyTorch. Current intended use is education not production.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
GPU-friendly, auto-differentiable LQR solver with JAX.
A library for scientific machine learning and physics-informed learning
A free and strong UCI chess engine
Comprehensive optical design, optimization, and analysis in Python, including GPU-accelerated and differentiable ray tracing via PyTorch.
Lecture material used in my 8 hour long PhD course on "Numerical Methods for Partial Differential Equations"
GitHub Action for continuous benchmarking to keep performance
Challenging myself to learn CUDA (Basics → Intermediate) these 100 days.
how to optimize some algorithm in cuda.
Code to make working with CUDA, via the CUDARC lib, easier.
Safe Rust wrapper for the NVIDIA Management Library
Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.