Lists (5)
Stars
Download MeteoSwiss Open Government Data — weather stations, radar, hail, forecasts and climate series — via Python API, CLI, or MCP server, as DataFrames, Parquet, xarray Datasets or Zarr stores
Fast and memory-efficient classical machine learning operators
A platform for reproducible world model research and evaluation
Official repository for "AM-RADIO: Reduce All Domains Into One"
[ICLR 2026 Oral] Visual Planning: Let's Think Only with Images
(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models [ICML'26]
Authors implementation of "Flowception Temporally Expansive Flow Matching for Video Generation".
rCM & Causal-rCM: Leading and Unified Algorithms/Infrastructures for Bidirectional/Autoregressive Video Diffusion Distillation at Scale
Official Code for Localized, High-Resolution Geographic Representations with Slepian Functions - ICML 2026
[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
IPSL-AID is a high-performance research framework for climate data downscaling based on diffusion models, designed for GPU clusters and HPC systems.
pool is Poolside’s coding agent that runs in your terminal or integrates with any ACP-compatible editor
Single-stage End-to-End Training for Tokenization and Generation
[ArXiv 2026] Coevolving Representations in Joint Image-Feature Diffusion
FDFO: Finite Difference Flow Optimization
[ICML 2026] U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster
Neural scaling laws for weather forecasting on ERA5 using Swin Transformers
NVIDIA AITune is an inference toolkit designed for tuning and deploying Deep Learning models with a focus on NVIDIA GPUs.
Official implementation of the paper Probabilistic Retrofitting of Learned Simulators.
A pure-Python implementation of the Nvidia CuTe layout algebra intended to be approachable and easy to learn.