WenjunDong's Stars
NaiboWang/EasySpider
A visual no-code/code-free web crawler/spider易采集:一个可视化浏览器自动化测试/数据采集/爬虫软件,可以无代码图形化的设计和执行爬虫任务。别名:ServiceWrapper面向Web应用的智能化服务封装系统。
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
exo-explore/exo
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
princeton-nlp/SWE-agent
[NeurIPS 2024] SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges.
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.
NVIDIA/DALI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
eseckel/ai-for-grant-writing
A curated list of resources for using LLMs to develop more competitive grant applications.
google-research/neuralgcm
Hybrid ML + physics model of the Earth's atmosphere
deep-diver/paper-reviewer
Generate a comprehensive review from an arXiv paper, then turn it into a blog post. This project powers the website below for the HuggingFace's Daily Papers (https://huggingface.co/papers).
showlab/Awesome-MLLM-Hallucination
📖 A curated list of resources dedicated to hallucination of multimodal large language models (MLLM).
SpeedyWeather/SpeedyWeather.jl
Play atmospheric modelling like it's LEGO.
microsoft/aurora
Implementation of the Aurora model for Earth system forecasting
openclimatefix/metnet
PyTorch Implementation of Google Research's MetNet and MetNet-2
google-research/dinosaur
NVIDIA/earth2mip
Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.
openclimatefix/graph_weather
PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
lucidrains/metnet3-pytorch
Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch
jaychempan/Awesome-LWMs
🌍 A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)
leap-stc/ClimSim
An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
NVIDIA/earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
camlab-ethz/poseidon
Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
slcs-jsc/mptrac
Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere.
kyegomez/metnet3
An implementation of "metnet3" in Pytorch
acse-jm122/torchda
Use Deep Learning in Data Assimilation
NOAA-EMC/graphcast
GraphCastGFS
ecmwf/anemoi-training
MeteoSwiss/ai-models-ensembles
Generating Weather Model Ensembles Using ecmwf-lab/ai-models
st-bender/pynrlmsise00
Python interface for the NRLMSISE-00 empirical neutral atmosphere model
mcordero191/hyper
HYPER: A PINN approach to reconstruct 3D wind fields from meteor measurements
magray-ncsu/OceanNet