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This repository contains examples for RxInfer.jl
Julia package with several functions to train and analyze Autoencoder-based neural networks
A reinforcement learning codebase focusing on the emergence of cooperation and alignment in multi-agent AI systems.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Julia package for automated Bayesian inference on a factor graph with reactive message passing
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
Functional reactive programming extensions library for Julia
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.
High-performance reactive message-passing based Bayesian inference engine
Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.
Deezer source separation library including pretrained models.