cfluzheng

cfluzheng's Stars

• brhillman/e3sm_grids

  Scripts for generating grids for E3SM

  Language:Jupyter Notebook43

• 3b1b/videos

  Code for the manim-generated scenes used in 3blue1brown videos

  Language:Python6.9k1.6k

• gordicaleksa/get-started-with-JAX

  The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

  Language:Jupyter Notebook64496

• patchy631/machine-learning

  Language:Jupyter Notebook1.4k261

• opengeos/segment-geospatial

  A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

  Language:Python3k307

• openwfm/WRF-SFIRE

  A coupled weather-fire forecasting model built on top of Weather Research and Forecasting (WRF). This is the original https://github.com/openwfm/wrf-fire transitioned to a fork of WRF and selected as ifire=1. Graphic log at https://repo.or.cz/git-browser/by-commit.html?r=WRF-SFIRE.git

  Language:Fortran4012

• CLIMADA-project/climada_python

  Python (3.8+) version of CLIMADA

  Language:Jupyter Notebook310122

• simonameiler/TC_model_comparison

  This repository contains the code to reproduce the analysis in: Meiler et al. Intercomparison of regional loss estimates from global synthetic tropcial cyclone models

  Language:Python3

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook14.9k1.4k

• Jongchan/attention-module

  Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

  Language:Python2.1k402

• lautenberger/elmfire

  Eulerian Level set Model of FIRE spread

  Language:Fortran2912

• facebookresearch/sam2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook11.7k1k

• google-research/neuralgcm

  Hybrid ML + physics model of the Earth's atmosphere

  Language:Python64570

• jackfrued/Python-Core-50-Courses

  Python语言基础50课

  11.5k2.8k

• darothen/pyrcel

  A 0D, adiabatic cloud parcel model for studying aerosol activation.

  Language:Python2419

• xuebinqin/U-2-Net

  The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

  Language:Python8.6k1.5k

• Cambridge-ICCS/FTorch

  A library for directly calling PyTorch ML models from Fortran.

  Language:Fortran7214

• scientific-computing/FKB

  A two-way deep learning bridge between Keras and Fortran

  Language:Fortran17537

• SeasFire/seasfire-datacube

  An open and accessible datacube for environmental and earth system monitoring

  Language:Jupyter Notebook184

• Orion-AI-Lab/televit

  Teleconnection-driven vision transformers for improved long-term forecasting

  Language:Python275

• microsoft/torchgeo

  TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

  Language:Python2.7k332

• ecmwf-lab/ai-models

  Language:Python38458

• jtbuch/smlfire1.0

  Repo for code, plots, and notes related to a ML based model of western US wildfire activity.

  Language:Jupyter Notebook6

• google-deepmind/graphcast

  Language:Python4.6k580

• google-research/weatherbench2

  A benchmark for the next generation of data-driven global weather models.

  Language:Python42643

• digitalearthafrica/deafrica-sandbox-notebooks

  Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

  Language:Jupyter Notebook177130

• 198808xc/Pangu-Weather

  An official implementation of Pangu-Weather

  Language:Python1.1k199

• xbresson/CS6208_2023

  Advanced Topics in Artificial Intelligence, NUS CS6208, 2023

  Language:Jupyter Notebook30748

• cloudsci/cloudmetrics

  Toolkit for computing 15+ metrics characterising 2D cloud patterns

  Language:Python168

• paulaharder/deep-downscaling-overview

  A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.

  8415