mlatcl / mlphysicalLinks
Machine Learning and the Physical World module
☆28Updated 9 months ago
Alternatives and similar repositories for mlphysical
Users that are interested in mlphysical are comparing it to the libraries listed below
Sorting:
- ☆39Updated 4 years ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆27Updated 3 weeks ago
- Literature and light wrappers for gaussian process models.☆48Updated 4 years ago
- A framework for composing Neural Processes in Python☆85Updated 8 months ago
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆51Updated last year
- An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.☆156Updated 7 months ago
- A collection of ensemble square root kalman filters implemented in Python☆16Updated 2 years ago
- ☆65Updated this week
- OceanBench - SSH edition☆21Updated last year
- A Python package for tackling diverse environmental prediction tasks with NPs.☆115Updated 3 months ago
- Training material on writing machine learning code with PyTorch by ICCS☆33Updated last month
- ☆92Updated last year
- Emulate simulations easily☆89Updated this week
- 🌍 A curated list of MIT faculty that tackle climate change with machine learning for applying students, undergraduates, or others☆48Updated last week
- Official implementation of Score-based Data Assimilation☆71Updated last year
- Code for the paper "Auto differentiable Ensemble Kalman Filters" (https://arxiv.org/abs/2107.07687), accepted for publication in SIAM Jou…☆34Updated 3 years ago
- Official implementation of Learning Dissipative Chaos In A Linear Way☆12Updated 6 months ago
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆29Updated 3 years ago
- Data access package for the SubseasonalClimateUSA dataset☆33Updated 9 months ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆22Updated 5 months ago
- Quantification of Uncertainties in Neural Networks☆11Updated 5 months ago
- A benchmark dataset for Machine Learning emulation of atmospheric radiative transfer in weather and climate models (NeurIPS 2021 Datasets…☆41Updated 2 years ago
- Bootcamp notebooks☆58Updated 3 weeks ago
- A Bayesian optimization toolbox built on TensorFlow☆239Updated 2 weeks ago
- Experiments demonstrating coupled online learning for machine learning parameterizations☆22Updated 2 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 10 months ago
- NeuralGCM's differentiable dycore☆292Updated last month
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 3 years ago
- Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.☆24Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆213Updated last year