amazon-science / dlwp-benchmark
Code for the paper: Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes and Atmospheric Dynamics
☆11Updated 8 months ago
Alternatives and similar repositories for dlwp-benchmark:
Users that are interested in dlwp-benchmark are comparing it to the libraries listed below
- Conformal Prediction for Time Series with Modern Hopfield Networks☆76Updated last year
- ☆11Updated last year
- PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…☆25Updated last year
- Code for Copula conformal prediction paper (ICLR 2024)☆29Updated 6 months ago
- This repository contains code for the paper: S Bergsma, T Zeyl, JR Anaraki, L Guo, C2FAR: Coarse-to-Fine Autoregressive Networks for Prec…☆12Updated last year
- ☆14Updated last year
- ☆18Updated 6 months ago
- ☆10Updated 3 years ago
- ☆57Updated last month
- ☆31Updated last year
- Implementation of the paper: "Aurora: A Foundation Model of the Atmosphere" in PyTorch☆21Updated this week
- ☆23Updated 3 years ago
- [NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion☆26Updated last month
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆83Updated last year
- A simple Dataset generator for Moving Mnist☆13Updated last year
- ☆21Updated 2 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated last month
- ☆22Updated 3 years ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 6 months ago
- Starter Kit for the NeurIPS 2022 Weather4cast competition☆54Updated 2 years ago
- An extension of Py-Boost to probabilistic modelling☆21Updated 2 years ago
- Official code for ICML 2024 paper "An Unsupervised Approach for Periodic Source Detection in Time Series"☆9Updated 2 months ago
- Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*☆84Updated 2 months ago
- ☆19Updated last year
- Official implementation of "Conformal prediction for multi-dimensional time series by ellipsoidal sets" (ICML 2024 spotlight)☆17Updated 9 months ago
- Pytorch implementation of RED-SDS (NeurIPS 2021).☆18Updated 3 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆51Updated 2 years ago
- Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch☆14Updated last month
- Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes☆48Updated 2 years ago
- Official implementation of "UniTS: A Universal Time Series Analysis Framework Powered by Self-supervised Representation Learning"☆34Updated last month