Pytorch ViT for Image classification on the CIFAR10 dataset

Detecting available rooftop area from satellite images to install photovoltaic panels - LESO-PB Lab @ EPFL

This is an implementation of the U-Net model from the paper, U-Net: Convolutional Networks for Biomedical Image Segmentation.

Example codes in the medium post titled "Optuna meets Weights and Biases."

Official development code of the Automatic Scoring of Atopic Dermatitis (ASCORAD) by Legit.Health 🩺🤖

Learning semantic embeddings from OSM data: A Pytorch implementation of the loc2vec general method outlined in: https://sentiance.com/loc2vec-learning-location-embeddings-w-triplet-loss-networks.

Scanned Paper Rotation Correction using PyTorch to automatically correcting the orientation of scanned paper documents between -45° , 45°

AI cup contest

cyro-EM-denoising-pytorch-v1 (an iterative approach based on siamese network and clustering)

Apply REINFORCE algorithm

Official implementation of "Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving" (DucTeacher). [BMVC 2022]

Multiple Sclerosis EDSS score detection using Deep Learning

PlantAi is a ResNet-based CNN model trained on the PlantVillage dataset to classify plant leaf images as healthy or diseased. This repository includes PyTorch training code, tools to convert the model to TensorFlow Lite (TFLite) for deployment, and an Android app integrating the model for real-time leaf disease detection from camera images.

VinBERT is a Vietnamese language model using VLLM architecture, optimized for NLP tasks with distributed training on AWS SageMaker.

Final thesis of the Msc in Data Science from University of Barcelona

Real-time industrial project for OCR data extraction in a production lane

Convolutional neuronal network to classify satellite imagery of the mars surface

Matrix Capsules experiment on German Traffic Sign Recognition Benchmark (GTSRB)

Representation Learning - RNN, GRU and Mutli-headed attention transformers

Pytorch Learnings