montimaj
Assistant Research Professor @ Desert Research Institute | Ex-Research Scientist Intern @facebook | Ex-Analytics Modeling Intern @planetlabs
Desert Research InstituteReno, Nevada
montimaj's Stars
hyriver/pygeohydro
A part of HyRiver software stack for accessing hydrology data through web services
IPL-UV/kNDVI
Kernel vegetation indices and the kernel NDVI
facebookresearch/HighResCanopyHeight
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".
nsidc/earthaccess
Python Library for NASA Earthdata APIs
optuna/optuna
A hyperparameter optimization framework
mdfahimhasan/Global-Subsidence-Groundwater
coolzhao/Geo-SAM
A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.
keras-team/keras-core
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
WSWUP/gridwxcomp
Comparison of weather station and gridded climate datasets
GeoscienceAustralia/PyRate
A Python tool for estimating velocity and time-series from Interferometric Synthetic Aperture Radar (InSAR) data.
jmcarpenter2/swifter
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
tethysplatform/tethys
The Tethys Platform main Django website project repository.
facebookresearch/esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
microsoft/farmvibes-ai
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
GeoStat-Framework/AnaFlow
A python-package containing analytical solutions for the groundwater flow equation
Project-AgML/AgML
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
bopen/sarsen
Algorithms and utilities for Synthetic Aperture Radar (SAR) sensors
linkedin/FastTreeSHAP
Fast SHAP value computation for interpreting tree-based models
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
cerlymarco/shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
AstraZeneca/awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
tensorflow/gnn
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
rougier/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
microsoft/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
PetarV-/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
pycaret/pycaret
An open-source, low-code machine learning library in Python
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
smwesten-usgs/swb2
SWB 2.0: a refactored version of the Soil-Water-Balance code
smwesten-usgs/swb
Soil-Water-Balance: A Modified Thornthwaite-Mather Soil-Water-Balance Code for Estimating Groundwater Recharge.