Manuel Arturo Suárez Améndola's Projects
CIMAT Dataset Training with Segmentation Models Pytorch
Example source code for https://github.com/qubvel/segmentation_models/blob/master/examples/binary%20segmentation%20(camvid).ipynb (binary/multiclass segmentation)
Example source code for https://keras.io/examples/vision/deeplabv3_plus/
Example source code for https://github.com/jacobgil/pytorch-grad-cam/blob/master/tutorials/Class%20Activation%20Maps%20for%20Semantic%20Segmentation.ipynb
Example source code for https://github.com/kiraving/SegGradCAM/blob/master/code/cityscapes-notebooks/city_demo_backbone.ipynb
Example source code for https://github.com/bnsreenu/python_for_microscopists/tree/master/228_semantic_segmentation_of_aerial_imagery_using_unet
Config files for my GitHub profile.
Proyecto de Examen de Candidatura - Aprendizaje Máquina
Resultados de segmentación a presentar sobre "oil spill dataset"
Proyecto del Examen de Candidatura - Optimización
Proyecto para el Examen de Candidatura - Procesamiento de Señales
Example source code for Catalyst minimal examples: https://github.com/catalyst-team/catalyst#minimal-examples
Aplicación de diferentes filtros a las imágenes TIFF del dataset de imágenes CIMAT
Repositorio con los ejemplos de código del taller de UQ 2023
Semantic Segmentation for Cimat Dataset using Segmentation Models Pytorch
Scripts to get resources from my classrooms (mostly to download assignments...)
SAR Specke denoise based on CNN train over natural images
Remote Sensing Datasets implementation in PyTorch
Deep Learning Models implementations in PyTorch
Deep Learning Models implementations in TensorFlow
DeepLab Pytorch example implementations
Example source code for https://www.kaggle.com/code/llpukojluct/deeplabv3
Proof of concept for denoising