Reteaua neuronala CitNet
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Updated
Apr 16, 2020 - Python
Reteaua neuronala CitNet
One-stage and two-stage face detection models
This project aims to improve the performance of the classification algorithm by implementing state-of-the-art model: EfficientNet in place of VGG-16.
All my Python code used for the Kaggle HuBMAP Semantic Segmentation competition
Image Scene Classification Model for TensorFlow Hub
Project 7 of the course "Specialization Data Science" that updated to the app
MaizeFolioID is an image recognition model trained to predict the presence of foliar diseases in maize leaves.
Food Vision Big™, using all of the data from the Food101 dataset. Beat the DeepFood paper : https://www.researchgate.net/publication/304163308_DeepFood_Deep_Learning-Based_Food_Image_Recognition_for_Computer-Aided_Dietary_Assessment
An end-to-end CNN Image Classification Model which can identify over 100 food classes trained on the Food-101 dataset.
This repository contains the code of the paper Multi-class classification of brain tumor types from MR Images using EfficientNets
System for automatic size and type control of cars rims/wheels (Master Thesis at MFF UK)
It contains a few useful notebooks from "Shopee - Price Match Guarantee" competition hosted on kaggle. It covers topics ranging from EDA, Efficientnet for image embeddings, ArcFace loss for metric learning, LR scheduler, etc.
Skull stripping - Image processing project (PUTvision @ Poznan University of Technology, Institute of Robotics and Machine Intelligence)
Implementation of popular Vision models in PyTorch.
An object detection API for faster training of EfficientDet models on various datasets using PyTorch.
Notebooks and references for the submission to SnakeCLEF, 2021 edition.
CSE204 Machine Learning Final project at Ecole Polytechnique
Solutions to kaggle competition-Pneumothorax detection
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