Pinned Repositories
connected-components-3d
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.
cross-section
Tools for computing properties of cross sections of 3D voxelized images.
crypto-trading-ai-bot-basic
dijkstra3d
Dijkstra's Shortest Path for 6, 18, and 26-Connected 3D (Volumetric) Image Volumes
dlisio-notebooks
euchar
Compute Euler Characteristic curves and surfaces of image and point data.
euclidean-distance-transform-3d
Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
fast-neural-style-pytorch
Fast Neural Style Transfer implementation in PyTorch :art: :art: :art:
fastmorph
Multilabel and Grey 3D morphological image processing functions. Dilate, Erode, Opening, Closing.
style-transfer-downscaling-paper
ST method applied to CT images
joaoponte's Repositories
joaoponte/dlisio-notebooks
joaoponte/connected-components-3d
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.
joaoponte/cross-section
Tools for computing properties of cross sections of 3D voxelized images.
joaoponte/crypto-trading-ai-bot-basic
joaoponte/dijkstra3d
Dijkstra's Shortest Path for 6, 18, and 26-Connected 3D (Volumetric) Image Volumes
joaoponte/euchar
Compute Euler Characteristic curves and surfaces of image and point data.
joaoponte/euclidean-distance-transform-3d
Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
joaoponte/fast-neural-style-pytorch
Fast Neural Style Transfer implementation in PyTorch :art: :art: :art:
joaoponte/fastmorph
Multilabel and Grey 3D morphological image processing functions. Dilate, Erode, Opening, Closing.
joaoponte/Force-2020-Machine-Learning-competition
the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.
joaoponte/G2S
A flexible MPS framework
joaoponte/geoscience-ML-tutorial
Some simple tutorials about machine learning / deep learning / optimization in geosciences.
joaoponte/Image-Super-Resolution-via-Iterative-Refinement
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
joaoponte/joaoponte-page
My personal web page ;)
joaoponte/medical-to-micro-CT
Repository with part of the code used on the paper "Generation of μCT images from medical CT scans of carbonate rocks using a diffusion-based model"
joaoponte/neupy
NeuPy is a Tensorflow based python library for prototyping and building neural networks
joaoponte/style-transfer-downscaling-paper
ST method applied to CT images
joaoponte/fastremap
Remap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.
joaoponte/fill_voids
Fill holes in binary 2D & 3D images fast.
joaoponte/kimimaro
Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)
joaoponte/Literatura-Alema
Circulação de literatura ficcional em língua alemã no Brasil do século XIX
joaoponte/neuroglancer
WebGL-based viewer for volumetric data
joaoponte/python-bootcamp-for-geoengineers
Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US
joaoponte/pytorch_multi_input_example
Multi-Input Deep Neural Networks with PyTorch-Lightning - Combine Image and Tabular Data
joaoponte/Short-course-MPS
joaoponte/SimpleElastix
Multi-lingual medical image registration library
joaoponte/SimpleEQ
The code for the SimpleEQ C++ Plugin Project featured on FreeCodeCamp YT channel
joaoponte/smartlife
joaoponte/somoclu
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters
joaoponte/statistics