Ciaran1981's Stars
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
fastai/fastbook
The fastai book, published as Jupyter Notebooks
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
activeloopai/deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
automl/auto-sklearn
Automated Machine Learning with scikit-learn
bnsreenu/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
charlesq34/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
QingyongHu/SoTA-Point-Cloud
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
opengeos/Awesome-GEE
A curated list of Google Earth Engine resources
awesome-spectral-indices/awesome-spectral-indices
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
vinits5/learning3d
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
conda-forge/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
antao97/dgcnn.pytorch
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
cesium-ml/cesium
Machine Learning Time-Series Platform
jbehley/point_labeler
My awesome point cloud labeling tool
ch-sa/labelCloud
A lightweight tool for labeling 3D bounding boxes in point clouds.
sphinx-gallery/sphinx-gallery
Sphinx extension for automatic generation of an example gallery
chenfengxu714/SqueezeSegV3
sat-utils/sat-search
A python client for sat-api
mortcanty/earthengine
Change Detection with Google Earth Engine Imagery
rockestate/point-cloud-processing
Point cloud processing slides
dvalters/HAIL-CAESAR
The High-Performance Architecture-Independent LISFLOOD-CAESAR model of floodplain, river, and sediment dynamics
ec-jrc/cbm
Checks by Monitoring
robintw/XArray_PyConUK2018
Code and slides for my talk at PyCon UK 2018 on XArray
snap-contrib/snap-conda
SNAP as a conda package
cedadev/opendap-python-example
simon-m-mudd/smm_teaching_notebooks
Some notebooks for teaching. These are designed to be used on the Noteable service, available through the University of Edinburgh. They can be usd on other jupyter services, but you will need to install the geospatial python tools (gdal, cartopy, rasterio, fiona, geopandas).
cropmapteam/Scottish-Crop-Map-2019-Publication
Within this repository you will find the code used to produce zonal statistics from radar images and the code used to perform random forest models on those statistics.
NERC-CEH/CS_networks
countryside survey networks analysis