CNN implementation for medical X-Ray image segmentation

Find logos in images and videos in just one-shot. Never be embarrassed again to say that you have a small data situation!

TensorFlow Input Pipeline Examples based on multi-thread and FIFOQueue

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

PyTorch implementation of Sentiment Analysis of the long texts written in Serbian language (which is underused language) using pretrained Multilingual RoBERTa based model (XLM-R) on the small dataset.

Generative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'

Sentiment Analysis of tweets written in underused Slavic languages (Serbian, Bosnian and Croatian) using pretrained multilingual RoBERTa based model XLM-R on 2 different datasets.

Project to scrape CFTC.gov reports and present using Power Query & Power Pivot

AutoML tool for imbalanced and small tabular datasets

Mixture of Experts from scratch

My solution of dirty/cleaned plates recognition kaggle task

This repository contains Alzheimer's detection model using few-shot learning and a machine learning ensemble model. With limited samples, the few shot learning enables efficient detection and the ensemble model incorporates the advantages of multiple algorithms improving the efficiency of detection.

Implements MobileViT and ViT from scratch, compatible with graph execution mode in tensorflow. Compares multiple cnn and transformer-based models including VGG, ResNet, ViT and MobileViT on a small cultrual relic data set.

Experiments with artificial neural networks on small datasets.

Research log for Clastic Music

A deep learning based domain knowledge integration for small dataset

A dataset for 12 weed species is provided and several Deep Learning pre-trained models are utilized for the multi-class classification task.

Cancer detection through a blood test (CancerSEEK) using machine learning techniques.

Homework on training deep networks with very small data - MVA MSc