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 2 months ago
Alternatives and similar repositories for PML2024
Users that are interested in PML2024 are comparing it to the libraries listed below
Sorting:
- ☆15Updated last month
- Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …☆33Updated 3 months ago
- Data Science for Dynamical System Course☆124Updated 10 months ago
- TorchFSM: Fourier Spectral Method with PyTorch☆48Updated 2 weeks ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆58Updated last year
- ☆29Updated 2 years ago
- Implementation of the work Variational multiple shooting for Bayesian ODEs with Gaussian processes☆13Updated 3 years ago
- Introduction to Gaussian Processes☆29Updated 7 years ago
- Patched Attention for Nonlinear Dynamics☆156Updated last week
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 3 years ago
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- Code for Lie Symmetries SSL paper☆23Updated last year
- A Python package to learn the Koopman operator.☆61Updated 9 months ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems☆135Updated 3 weeks ago
- By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …☆36Updated 2 years ago
- ☆18Updated 10 months ago
- Code for the figures in Chapter 13 of "Reinforcement Learning: An Introduction" by Sutton and Barto☆13Updated 2 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆30Updated last year
- Nonparametric Differential Equation Modeling☆54Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆175Updated last year
- ☆19Updated 3 years ago
- Official codebase for our NeurIPS paper, Symmetry-Informed Governing Equation Discovery.☆11Updated 9 months ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 4 months ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆64Updated 4 years ago
- Data-driven dynamical systems toolbox.☆74Updated last month
- Course 5SSD0 - Bayesian Machine Learning and Information Processing☆50Updated last month
- Reinforcement learning environments for process control applications.☆60Updated last month
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆43Updated last year