mawbray

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

pykan

Kolmogorov Arnold Networks

marimo

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

acme

A library of reinforcement learning components and agents

torchchat

Run PyTorch LLMs locally on servers, desktop and mobile

Category_Theory_Machine_Learning

List of papers studying machine learning through the lens of category theory

Inverse-Reinforcement-Learning

Implementations of selected inverse reinforcement learning algorithms.

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

stat_rethinking_2024

neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

scs

Splitting Conic Solver

lineax

Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax

cola

Compositional Linear Algebra

hydra-zen

Create powerful Hydra applications without the yaml files and boilerplate code.

optimistix

Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/

kfac-jax

Second Order Optimization and Curvature Estimation with K-FAC in JAX.

Uno

A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

interval-bound-propagation

This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715

skyrim

🌎 🤝 AI weather models united

pygexf

a python library to generate gexf file format

fast-map-dpp

Fast Greedy MAP Inference for DPP

scope-rl

SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection

Job_Shop_Scheduling_Benchmark_Environments_and_Instances

A benchmarking repo with various solution methods to various machine scheduling problems

FlowMol

Mixed continous/categorical flow-matching model for de novo molecule generation.

sparsejac

Efficient forward- and reverse-mode sparse Jacobians using Jax

pytope

Minimal package for operations on polytopes, zonotopes, and invariant sets.

mdmm-jax

Gradient-based constrained optimization for JAX

pc-gym

Reinforcement learning environments for process control applications.

jax-sysid

A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax

CourseScheduling

CS-H198 Honor Research Project on algorithms. The course scheduling algorithm can generate a four year plan or a partial plan for UCI students.