wenwenkong's Stars
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
kenjihiranabe/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
vega/altair
Declarative statistical visualization library for Python
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
google-deepmind/graphcast
data-science-on-aws/data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
parrt/dtreeviz
A python library for decision tree visualization and model interpretation.
apache/sedona
A cluster computing framework for processing large-scale geospatial data
softwareunderground/awesome-open-geoscience
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
cleanlab/cleanvision
Automatically find issues in image datasets and practice data-centric computer vision.
pbiecek/xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)
GenericMappingTools/pygmt
A Python interface for the Generic Mapping Tools.
rapidsai/cuspatial
CUDA-accelerated GIS and spatiotemporal algorithms
kr-stn/awesome-sentinel
curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data
microsoft/PlanetaryComputerExamples
Examples of using the Planetary Computer
gdsbook/book
This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
opengeos/segment-anything
An unofficial Python package for Meta AI's Segment Anything Model
ecmwf-projects/mooc-machine-learning-weather-climate
saeedkhaki92/CNN-RNN-Yield-Prediction
This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"
ClimateImpactLab/downscaleCMIP6
Downscaling & bias correction of CMIP6 tasmin, tasmax, and pr for the R/CIL GDPCIR project
planet-os/notebooks
A collection of Planet OS Jupyter notebooks.
holoviz-topics/EarthML
Tools for working with machine learning in earth science
ecmwf/earthkit-data
A format-agnostic Python interface for geospatial data
aws-samples/aws-hpc-workshops
This is a repo of HPC workshops that will be used to facilitate on-site engagements, or be used at conferences and summits.
ropensci/weatherOz
An API Client for Australian Weather and Climate Data Resources
kylegallatin/mlops-pipeline
jonathan-roberts1/awesome-GPT-4
saeedkhaki92/Crop-stress-classification
This repository contains codes for the paper entitled "Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach"