Optimize Julia Functions With MLIR and XLA for High-Performance Execution on CPU, GPU, TPU and more.

Automatic Python-C++ interoperability layer and bindings generator

The LLVM Project in your Browser

Have fun!

OpenCL Julia bindings

Forward Mode Automatic Differentiation for Julia

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learni…

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…

Boosted trees in Julia

GPU accelerated Particle Swarm Optimization

Efficient Rubik's Cube solver using multiple algorithms (BFS, DFS, IDDFS, and Korf's IDA*) with optimized C++ data structures, achieving solving times under 3 seconds for 8-move scrambles and 10 se…

Convert SAM files to RAM (ROOT Alignment/Map) files.

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance

(ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling

ML models benchmarks on public dataset

A Clang-based C++ Interoperability Library

Differentiable models for tabular data

GPU programming related news and material links

Heterogeneous programming in Julia

Sparsely connected spiking neuron network from Brunel 2000

Convert SAM files to RAM (ROOT Alignment/Map) files.

Cartography is a Python tool that pulls infrastructure assets and their relationships into a Neo4j graph database.

Shivam's Interview Experiences

Feilong is a open source z/VM cloud connector project under the Open Mainframe Project umbrella that will accelerate the z/VM adoption, extending its ecosystem and its user experience. It provides …

links for research internships

Machine Learning model for DNA Classification. The code uses and trains the data and builds a model for DNA Classification.

Personal notes (technical)