Stars
Optax is a gradient processing and optimization library for JAX.
Using markdown, write simple but beautiful presentations with math, animations and media.
Github pages backend for https://differentialprivacy.org
JAX - A curated list of resources https://github.com/google/jax
Python library for arbitrary-precision floating-point arithmetic
Code for fast dpsgd implementations in JAX/TF
Folklore facts on probability distribution learning, testing, and whatever-ing
An Open Source Machine Learning Framework for Everyone
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Python and torch-based package implementing various parametric and nonparametric methods for conditional density estimation
Collections of utilities I use to train neural networks.
Hydra is a framework for elegantly configuring complex applications
Probabilistic Solution of Differential Equations
A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
♞ lichess.org: the forever free, adless and open source chess server ♞
Bayesian inference with probabilistic programming.
How ready is Rust for Machine Learning?
This is the old repo for Broadway API. Please see the new repo for newest version of Broadway https://github.com/illinois-cs241/broadway
Bayesian optimization in PyTorch
An open source python library for scalable Bayesian optimisation.
Low-code framework for building custom LLMs, neural networks, and other AI models
Functional tensors for probabilistic programming
🎓A web app to help you determine your major/minor.