Get your documents ready for gen AI

from vibe coding to agentic engineering - practice makes claude perfect

Skills for Real Engineers. Straight from my .claude directory.

Auto QUality Assurance for Julia packages

LLM inference in C/C++

Develop. Preview. Ship.

Simulation-based inference in JAX

Implementation for Reverse Diffusion Sequential Monte Carlo Samplers (RDSMC)

⚡ A fast Git hook manager written in Rust, designed as a drop-in alternative to pre-commit, reimagined.

Boost.org math module

Parallelizing MCMC across the sequence length via Newton's method.

JMP is a Mixed Precision library for JAX.

PyTorch implementations of Generative Adversarial Networks.

Consistency Models Made Easy

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

Slice sampling algorithms in Julia

Relax! Flux is the ML library that doesn't make you tensor

Surjection layers for density estimation with normalizing flows

Mastering Diverse Domains through World Models

Use https://github.com/astral-sh/uv with tox

[ICLR 2022] Path integral sampler

Within-orbit Adaptive Leapfrog No-U-Turn Sampler

Machine Learning Engineering Open Book

Implementations of SIMD instruction sets for systems which don't natively support them.

Presentation Slides for Developers

🚀 Implementation of core data structures for R

Causal posterior estimation

A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.

Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FVAE) and functional autoencoder (FAE).