Pinned Repositories
ADA-Proj-18
A double da
Air-Pollution-Data-Analysis
Comparative analysis of air pollution between two Swiss monitoring stations (Sion vs Tänikon)
Cocoa_plantations_detection
Detecting cocoa plantation in Ivory Coast using Sentinel-2 remote sensing data
Deep-Satellite-Image-Segmentation
Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)
Equation-Reading-by-Robot-Tracking
Read a simple handwritten equation (digits and operator) from the visual tracking of robot hovering the characters.
Label-Efficient-Volumetric-Deep-Semantic-Segmentation-of-ICH
Developement of a 3D segmentation algortithm able to localize intracranial hemorrhages from brain CT-scans. Exploration of existing architectures and approches as well as potential improvments.
MNIST-LeNet5-Pytorch
Classification of MNIST (and variant) datasets using the LeNet5 architecture.
SELF-TAUGHT-SEMI-SUPERVISED-ANOMALY-DETECTION
Improved DSAD method using Contrastive for pretraining. Relevance of method showed on the X-ray MURA dataset. Published at ISBI2021.
SN-PatchGAN_FreeForm-Inpainter
Pytorch implementation of the SN-PatchGAN inpainter.
X-ray-Anomaly-Detection
Deep Unsupervised Anomaly detection on the MURA X-ray dataset
antoine-spahr's Repositories
antoine-spahr/Deep-Satellite-Image-Segmentation
Deep Semangtic segmentation of Worldview-3 satellite images using a U-net (DSTL kaggle competition)
antoine-spahr/Cocoa_plantations_detection
Detecting cocoa plantation in Ivory Coast using Sentinel-2 remote sensing data
antoine-spahr/SN-PatchGAN_FreeForm-Inpainter
Pytorch implementation of the SN-PatchGAN inpainter.
antoine-spahr/SELF-TAUGHT-SEMI-SUPERVISED-ANOMALY-DETECTION
Improved DSAD method using Contrastive for pretraining. Relevance of method showed on the X-ray MURA dataset. Published at ISBI2021.
antoine-spahr/Label-Efficient-Volumetric-Deep-Semantic-Segmentation-of-ICH
Developement of a 3D segmentation algortithm able to localize intracranial hemorrhages from brain CT-scans. Exploration of existing architectures and approches as well as potential improvments.
antoine-spahr/X-ray-Anomaly-Detection
Deep Unsupervised Anomaly detection on the MURA X-ray dataset
antoine-spahr/Air-Pollution-Data-Analysis
Comparative analysis of air pollution between two Swiss monitoring stations (Sion vs Tänikon)
antoine-spahr/ADA-Proj-18
A double da
antoine-spahr/Equation-Reading-by-Robot-Tracking
Read a simple handwritten equation (digits and operator) from the visual tracking of robot hovering the characters.
antoine-spahr/MNIST-LeNet5-Pytorch
Classification of MNIST (and variant) datasets using the LeNet5 architecture.
antoine-spahr/Project_BCI
BCI Project 2019
antoine-spahr/Comparing-Handwritten-Digits
Compare two number on MNIST images
antoine-spahr/Lamp-Deep-Learning-Framework
Lamp is a small deep learning framework to build and train multilayer perceptron.
antoine-spahr/Movie-Network-Visualisation
Network visualisation for the Network Tour of DataScience project
antoine-spahr/NTDS
NTDS - Group Folder - Graph Based Movie Nomination Prediction