Stars
Probabilistic programming for dynamical systems! Supports models with NumPyro, deterministic & stochastic systems, discrete- and continuous-time systems, and more!
An experimental language for causal reasoning
Deep universal probabilistic programming with Python and PyTorch
A library for bayesian variable selection
deepppl / stanc3
Forked from stan-dev/stanc3Rewriting the Stan compiler in OCaml
Python interface for the Stan to (Num)Pyro compiler.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Low-code framework for building custom LLMs, neural networks, and other AI models
Functional tensors for probabilistic programming
A Bayesian latent tree model of high-dimensional heterogeneous data
Lanugage of Thought (LOT) models in Python.
A tool to automatically generate pseudo-code from source code.
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training
A highly efficient implementation of Gaussian Processes in PyTorch
Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.
Handle the piping between Python and Unity. Helpers for ML in Python (PyTorch, Tensorflow, Pyro/Edward) as well as C# classes for quick domain construction.
Probabilistic reasoning and statistical analysis in TensorFlow
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
Invent abstract functions using anti-unification.
Python AST that abstracts the underlying Python version
This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
rmculpepper / iracket
Forked from ppaml-op3/iracketJupyter kernel for Racket