echoxiangzhou's Stars
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
karpathy/LLM101n
LLM101n: Let's build a Storyteller
niedev/RTranslator
Open source real-time translation app for Android that runs locally
TeamWiseFlow/wiseflow
Wiseflow is an agile information mining tool that extracts concise messages from various sources such as websites, WeChat official accounts, social platforms, etc. It automatically categorizes and uploads them to the database.
CosmosShadow/gptpdf
Using GPT to parse PDF
Esri/arcgis-python-api
Documentation and samples for ArcGIS API for Python
Rongronggg9/RSS-to-Telegram-Bot
A Telegram RSS bot that cares about your reading experience
GeostatsGuy/DataScienceInteractivePython
Python interactive dashboards for learning data science
jblindsay/whitebox-tools
An advanced geospatial data analysis platform
ajayd-san/gomanagedocker
TUI tool to manage your docker images, containers and volumes 🚀
google-research/arco-era5
Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.
GeoTIFF/georaster-layer-for-leaflet
Display GeoTIFFs and soon other types of raster on your Leaflet Map
thegeekyasian/geo-assist
Geo Assist is a spatial library to manage spatial data in-memory.
opengeos/HyperCoast
A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments
genome/sciclone
An R package for inferring the subclonal architecture of tumors
Deltares/dfm_tools
A Python package for pre- and postprocessing D-Flow FM model input and output files
eodaGmbH/py-maplibregl
Python bindings for MapLibre GL JS
airbusgeo/geocube
Geo-spatial imagery database designed as a serverless service to serve processing pipelines of satellite images at large scale.
yuquandu/Data-driven-Ship-Fuel-Efficiency-Modeling
This projects adopts machine learning models to quantify the daily/hourly bunker fuel consumption of a ship in different sailing speed, displacement/draft, trim, weather, and sea conditions. The industry data utilized include voyage report data, sensor data, AIS data, and meteorological data. Apart from Python code, here, we also share 130 trained machine learning models that enable you to estimate the daily/hourly fuel consumption of eight 8100-TEU to 14,000-TEU containerships. To download our trained machine learning mdoels and use them for estimate/forecost ship fuel consumption rate (ton/day, ton/hour), read "Instructions on How to Use Trained Machine Learning Models". For our Python code, read "Readme - Organization of Python Code Files in This Project".
ncclementi/ibis_duckdb_geospatial_scipy2024
This repo containse the demos and link to slides for the Ibis + DuckDB geospatial talk
DaniJonesOcean/OceanClustering
Unsupervised Clustering of Ocean Data in python
NUST-Machine-Intelligence-Laboratory/RCTNet
orchest/streamlit-docker
This is a minimal Docker packaging of the wonderful Streamlit app framework
dnth/postgresql-multimodal-retrieval
Vector/Hybrid Search & Retrieval on PostgreSQL database using Vision Language Model.
ProjectPythia/api-cookbook
Cookbook that focuses on accessing and visualizing data from various geoscience related APIs. In the cookbook, we will show step by step tutorials on retrieving data from the public APIs, then creating an informational and visually appealing plots.
abhimanyubhowmik/Oceanographic_Data_Analysis
Repository for temperature and Salinity analysis on oceanographic data.
ProjectPythia/sklearn-argo-cookbook
Accessing publicly available data from Argo ocean profilers, and using Scikit-learn functions to train machine learning models.
robwschlegel/MHWarctic
Code used to analyse physical data in an Arctic fjord wrt MHWs
sdrll/challenge-ais
Tomislav14/Duckdb-Leafmap