Alternatives and similar repositories for PML2024

Users that are interested in PML2024 are comparing it to the libraries listed below

• DS-4-DS / DS4DS_Course
  Data Science for Dynamical System Course
  ☆146Updated last month
• pnnl / NeuralDAEs
  Learning Neural Differential Algebraic Equations via Operator Splitting
  ☆21Updated 5 months ago
• grasool / Gaussian-Processes
  Introduction to Gaussian Processes
  ☆29Updated 7 years ago
• hegdepashupati / gaussian-process-odes
  Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes
  ☆13Updated 3 years ago
• PredictiveIntelligenceLab / GP-NODEs
  ☆28Updated 3 years ago
• Machine-Learning-Dynamical-Systems / kooplearn
  A Python package to learn the Koopman operator.
  ☆65Updated 2 weeks ago
• probml / rebayes
  Recursive Bayesian Estimation (Sequential / Online Inference)
  ☆60Updated last year
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆60Updated 3 years ago
• bertdv / BMLIP
  Course 5SSD0 - Bayesian Machine Learning and Information Processing
  ☆50Updated 4 months ago
• TUM-ITR / koopcore
  Koopman Kernels for Learning Dynamical Systems from Trajectory Data
  ☆31Updated 2 years ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 8 months ago
• muandet-lab / ipml-course
  A course on imprecise probabilistic machine learning
  ☆113Updated this week
• RaulPL / awesome-gaussian-processes
  A curated list of resources for learning Gaussian Processes
  ☆40Updated 4 years ago
• EEA-sensors / parallel-non-linear-gaussian-smoothers
  Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.
  ☆27Updated last year
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆43Updated 2 years ago
• cagatayyildiz / npde
  Nonparametric Differential Equation Modeling
  ☆56Updated last year
• aidanscannell / GPJax
  Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
  ☆12Updated 2 years ago
• andreikitaitsev / SymINDy
  Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…
  ☆84Updated 3 years ago
• Nikunj-Gupta / conformal-agent-modelling
  CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning
  ☆15Updated last year
• gd-vae / gd-vae
  Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …
  ☆35Updated last month
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆47Updated 4 years ago
• MilesCranmer / pysr_paper
  A paper describing the implementation of PySR and SymbolicRegression.jl
  ☆65Updated last year
• wjmaddox / online_gp
  Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"
  ☆64Updated 4 years ago
• MIT-Lu-Lab / MPAX
  Mathematical Programming in JAX
  ☆138Updated 7 months ago
• MaximilianB2 / pc-gym
  Reinforcement learning environments for process control applications.
  ☆71Updated 2 months ago
• jbramburger / DataDrivenDynSyst
  Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
  ☆155Updated 2 months ago
• long-da / A-United-Framework-to-Integrate-Physics-into-Gaussian-Processes
  ☆11Updated 2 years ago
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆53Updated last week
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆58Updated last month
• OxfordML / bayesquad
  Library for Bayesian Quadrature
  ☆32Updated 6 years ago