Alternatives and similar repositories for gnn-reading-group

Users that are interested in gnn-reading-group are comparing it to the libraries listed below

• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆60Updated 8 months ago
• BayesianRL / PML2024
  Materials related to the 2024-2025 mini course on Probabilistic Models and Bayesian Methods at the Faculty of Finance at Kharazmi Univers…
  ☆26Updated 2 months ago
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆64Updated 4 years ago
• tgp-team / torch-geometric-pool
  The library for pooling in Graph Neural Networks made for Pytorch Geometric
  ☆29Updated last week
• hd-UQ / cd_dynamax
  Extension of dynamax repo to cases with continuous-time dynamics with measurements sampled at possibly irregular discrete times. Allows …
  ☆14Updated last month
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆67Updated last year
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆72Updated 4 years ago
• ivandariojr / LyapunovLearning
  ☆43Updated 2 years ago
• MIT-Lu-Lab / MPAX
  Mathematical Programming in JAX
  ☆102Updated 2 months ago
• AndreasBergmeister / pjax
  A projection-based framework for gradient-free and parallel learning
  ☆104Updated last month
• IlyaOrson / Control-NeuralODE
  Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248
  ☆16Updated 2 years ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆47Updated 3 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆52Updated 3 years ago
• alonfnt / pcax
  Differentiable Principal Component Analysis (PCA) implementation in JAX
  ☆29Updated 3 months ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆29Updated 2 years ago
• long-da / A-United-Framework-to-Integrate-Physics-into-Gaussian-Processes
  ☆11Updated 2 years ago
• fusion-ml / OCBO
  Offline Contextual Bayesian Optimization
  ☆14Updated 2 years ago
• google-research / hyperbo
  Pre-trained Gaussian processes for Bayesian optimization
  ☆94Updated 4 months ago
• glajoie / MAT6115_Dynamical_Systems
  Support material for MAT6115, Université de Montréal, Fall 2018
  ☆27Updated last year
• MaximilianB2 / pc-gym
  Reinforcement learning environments for process control applications.
  ☆56Updated last month
• sebastian-east / dare-torch
  Implementation of a differetiable discrete-time algebraic Riccati equation (DARE) solver in PyTorch.
  ☆11Updated 2 years ago
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆48Updated this week
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆54Updated last year
• DS-4-DS / DS4DS_Course
  Data Science for Dynamical System Course
  ☆124Updated 10 months ago
• shalijiang / bo
  code for BINOCULARS and Multi-Step BO
  ☆12Updated 4 years ago
• multi-objective / moocore
  Core Mathematical Functions for Multi-Objective Optimization
  ☆20Updated last week
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆112Updated 5 months ago
• paulxshen / neural-ode-cartpole
  ☆24Updated 4 years ago
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated last year
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆42Updated 2 years ago