samy KHELIFI (samysung)

samysung

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samy KHELIFI 's repositories

python_ml_project_skeleton

generic skeleton for machine learning project with python, hydra, pytest, sphinx, github actions, etc.

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odeon

odeon official repository

dsb2018_topcoders

DSB2018 [ods.ai] topcoders

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Atten_Deep_MIL

This is an implementation of ICML 2018 "Attention-based Deep MIL"

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awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

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Brain-tumor-segmentation

A deep learning approach for brain tumor MRI segmentation

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cardiac-segmentation

Right Ventricle Cardiac MRI Segmentation

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DeepHyperX

Deep learning toolbox based on PyTorch for hyperspectral data classification.

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DISIR

Deep Image Segmentation with Interactive Refinement

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domain_specific_cl

Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"

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FLAIR-1-AI-Challenge

Baseline of the first IGN AI challenge, FLAIR #1

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Image_Segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

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imglab

To speedup and simplify image labeling/ annotation process with multiple supported formats.

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Kaggle-Carvana-3rd-Place-Solution

3rd place solution ( Carvana Image Masking Challenge )

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Keras-GAN

Keras implementations of Generative Adversarial Networks.

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lightweight-temporal-attention-pytorch

A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification

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odeon-landcover

ODEON stands for Object Delineation on Earth Observations with Neural network. It is a set of command-line tools performing semantic segmentation on remote sensing images (aerial and/or satellite). This version is one used for a national landcover project and is not oriented to be a generic deep learning ofr earth observation

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scriptedforms

Quickly create live-update GUIs for Python packages using Markdown and simple HTML elements.

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squeeze_and_excitation

PyTorch Implementation of 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

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StainGAN

Cycle-Consistent Adversarial Networks for Histopathological Stain Style Transfer

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STEGO

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

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test_cli

tests some CLI tools for python development

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tfwss

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

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