BayesianRL / PML2024Links
Materials related to the 2024-2025 mini course on Probabilistic Models and Bayesian Methods at the Faculty of Finance at Kharazmi University
☆26Updated 4 months ago
Alternatives and similar repositories for PML2024
Users that are interested in PML2024 are comparing it to the libraries listed below
Sorting:
- Data Science for Dynamical System Course☆129Updated last week
- Introduction to Gaussian Processes☆29Updated 7 years ago
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆34Updated last month
- ☆28Updated 3 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- Nonparametric Differential Equation Modeling☆55Updated last year
- Learning Neural Differential Algebraic Equations via Operator Splitting☆21Updated 3 months ago
- CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning☆15Updated last year
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 4 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 6 months ago
- Core Mathematical Functions for Multi-Objective Optimization☆24Updated this week
- A framework for neural network control of dynamical systems over graphs.☆56Updated 3 years ago
- TorchFSM: Fourier Spectral Method with PyTorch☆50Updated last week
- A course on imprecise probabilistic machine learning☆80Updated this week
- ☆18Updated last year
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆31Updated last year
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆13Updated 3 years ago
- Mathematical Programming in JAX☆108Updated 4 months ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆61Updated last year
- A Python package to learn the Koopman operator.☆63Updated this week
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 2 years ago
- Convert CVXPY expressions to PyTorch expressions☆17Updated 3 months ago
- Data-driven dynamical systems toolbox.☆77Updated last week
- Bayesian inference with Python and Jax.☆34Updated 2 years ago
- This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.☆53Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆59Updated 3 years ago
- ☆30Updated 7 years ago
- code for BINOCULARS and Multi-Step BO☆12Updated 4 years ago
- Online variational GPs☆37Updated 2 years ago