tiagodc
Forester, data scientist and software developer - currently focusing on fields related to forest monitoring, remote sensing and point cloud processing.
tiagodc's Stars
tesseract-ocr/tesseract
Tesseract Open Source OCR Engine (main repository)
corteva/rioxarray
geospatial xarray extension powered by rasterio
corteva/geocube
Tool to convert geopandas vector data into rasterized xarray data.
clusterpy/clusterpy
Library of spatially constrained clustering algorithms
SKrisanski/FSCT
annoviko/pyclustering
pyclustering is a Python, C++ data mining library.
mlech26l/ncps
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
AI-for-Ocean-Science/ulmo
OOD on SST data
winfsp/sshfs-win
SSHFS For Windows
dask/dask-tensorflow
geopandas/dask-geopandas
Parallel GeoPandas with Dask
zachasme/h3-pg
PostgreSQL bindings for H3, a hierarchical hexagonal geospatial indexing system
google/s2geometry
Computational geometry and spatial indexing on the sphere
uber/h3
Hexagonal hierarchical geospatial indexing system
VMBoehm/PAE
Probabilistic Auto-Encoder
AntixK/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
rezacsedu/Deep-Learning-for-Clustering-in-Bioinformatics
Deep Learning-based Clustering Approaches for Bioinformatics
neonwatty/machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
mpastell/Pweave
Pweave is a scientific report generator and a literate programming tool for Python. It can capture the results and plots from data analysis and works well with numpy, scipy and matplotlib.
h5py/h5py
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
umr-amap/aRchi
R package aRchi. Tree architecture from terrestrial laser scanning (TLS) data
cjauvin/pypetree
A graphical tool for the reconstruction of botanical trees from point cloud data
winterheart/broadcom-bt-firmware
Repository for various Broadcom Bluetooth firmware
mrosol/Nonlincausality
Python package for Granger causality test with nonlinear forecasting methods.
ProcessMiner/nlcor
An implementation of an efficient heuristic to compute the nonlinear correlations between numeric vectors. The heuristic works by adaptively identifying multiple local regions of linear correlations to estimate the overall nonlinear correlation. The nonlinear correlations estimate has various applications in data exploration and variable selection for nonlinear models.
ubarsc/pylidar
A set of Python modules which makes it easy to write lidar processing code in Python
JeremyBYU/polylidar
Polylidar3D - Fast polygon extraction from 3D Data
vlarmet/cppRouting
Algorithms for Routing and Solving the Traffic Assignment Problem
verma/plasio
Drag-n-drop In-browser LAS/LAZ point cloud viewer. http://plas.io
cea-hpc/modules
Environment Modules: provides dynamic modification of a user's environment