A Python/Numpy Level 3 Nexrad data decoder

This python package is designed to provide query and download capabilities to the NEXRAD archive available on Amazon Web Services (AWS). https://aws.amazon.com/public-datasets/nexrad/

Play with neural networks!

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

支持向量机，Support Vector Machine(SVM)，多类分类

Hackable and optimized Transformers building blocks, supporting a composable construction.

Code for Benson et. al., CVPR (2024) - Multi-modal learning for geospatial vegetation forecasting

NeurIPS'23: Energy Discrepancies: A Score-Independent Loss for Energy-Based Models

NeurIPS'24: Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces

comparison of fourier neural operator (FNO) and spherical fourier neural operator for solving the shallow water equations

[NeurIPS 2024] Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective

SimVQ: Addressing Representation Collapse in Vector Quantized Models with One Linear Layer

Starter Kit for the NeurIPS 2023 Weather4cast competition

An open-source toolbox for fast sampling of diffusion models. Official implementations of our works published in ICML, NeurIPS, CVPR.

A list of Precipitation Nowcasting papers and related resources.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Normalizing flows in PyTorch

netcdf4-python: python/numpy interface to the netCDF C library

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

[CVPR 2024] This is the official implementation of "ExtDM: Distribution Extrapolation Diffusion Model for Video Prediction"

Keras implement of flow-based models

Tools and analysis for approximating the state of networked systems

The STARFM fusion model for Python

Python implementation of STARFM(SPATIAL AND TEMPORAL ADAPTIVE REFLECTANCE FUSION MODEL) algorithm

生成扩散模型的Keras实现