mawbray's Stars
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
KindXiaoming/pykan
Kolmogorov Arnold Networks
marimo-team/marimo
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
google-deepmind/acme
A library of reinforcement learning components and agents
pytorch/torchchat
Run PyTorch LLMs locally on servers, desktop and mobile
bgavran/Category_Theory_Machine_Learning
List of papers studying machine learning through the lens of category theory
MatthewJA/Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
rmcelreath/stat_rethinking_2024
ZhiqingXiao/rl-book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
msurtsukov/neural-ode
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
cvxgrp/scs
Splitting Conic Solver
wilson-labs/cola
Compositional Linear Algebra
patrick-kidger/lineax
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
mit-ll-responsible-ai/hydra-zen
Create powerful Hydra applications without the yaml files and boilerplate code.
patrick-kidger/optimistix
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
google-deepmind/kfac-jax
Second Order Optimization and Curvature Estimation with K-FAC in JAX.
cvanaret/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.
google-deepmind/interval-bound-propagation
This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715
secondlaw-ai/skyrim
🌎 🤝 AI weather models united
paulgirard/pygexf
a python library to generate gexf file format
laming-chen/fast-map-dpp
Fast Greedy MAP Inference for DPP
hakuhodo-technologies/scope-rl
SCOPE-RL: A python library for offline reinforcement learning, off-policy evaluation, and selection
ai-for-decision-making-tue/Job_Shop_Scheduling_Benchmark_Environments_and_Instances
A benchmarking repo with various solution methods to various machine scheduling problems
Dunni3/FlowMol
Mixed continous/categorical flow-matching model for de novo molecule generation.
mfschubert/sparsejac
Efficient forward- and reverse-mode sparse Jacobians using Jax
heirung/pytope
Minimal package for operations on polytopes, zonotopes, and invariant sets.
crowsonkb/mdmm-jax
Gradient-based constrained optimization for JAX
MaximilianB2/pc-gym
Reinforcement learning environments for process control applications.
bemporad/jax-sysid
A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax
jennyzeng/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.