Reteaua neuronala CitNet
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Updated
Apr 16, 2020 - Python
Reteaua neuronala CitNet
All my Python code used for the Kaggle HuBMAP Semantic Segmentation competition
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
Repo for the "APTOS 2019 Blindness Detection" competition on Kaggle, to share my approach to solving the problem.
EfficientNet implementation using PyTorch
EfficientNet-Transformer model for convert image to UTF8 text
This Kaggle challenge is part of the Deep Learning course offered by University of Siegen, Germany.
Landcover classification on sentinel-2 data with Prithvi, EfficientNet-Unet and OSM / CNES Landcover labels.
Efficient model for semantic segmentation on edge devices, specifically targeting the analysis of disaster scenes from images captured by unmanned aerial vehicles (UAVs).
The Multimodal Model for Vietnamese Visual Question Answering (ViVQA)
Here are all my code files of Advanced AI/ML architectures built from scratch using Pytorch.
System for automatic size and type control of cars rims/wheels (Master Thesis at MFF UK)
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.
model of tensorflow2.0 keras efficientnet
Skin lesion (Melanoma) cancer detector
Classification of Liver fat with a voting classifier
Deepfake Detection MLOps - Build End-to-End Pipeline using Sagemaker Pipeline, AWS CodeBuild and AWS CodePipeline - Part 1
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