Stars
Give Claude Code a subconscious
Optimize Julia Functions With MLIR and XLA for High-Performance Execution on CPU, GPU, TPU and more.
Streamline your life using PromptingTools.jl, the Julia package that simplifies interacting with large language models.
A next generation message passing engine for Bayesian inference - successor of ReactiveMP.jl
Julia package with several functions to train and analyze Autoencoder-based neural networks
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
A small Julia package to facilitate working with the Trillion Dollar Words dataset.
A library to project an arbitrary function to an exponential family member distribution with the manifold optimization
The TrueSkill Through Time Julia Package
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Julia-based implementation of ellipsis array indexing notation `..`
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable i…
Evolutionary & genetic algorithms for Julia
The reactive UI library for interactive data applications with pure Julia.
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Deezer source separation library including pretrained models.