CNN implementation for medical X-Ray image segmentation
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Updated
Nov 22, 2022 - Jupyter Notebook
CNN implementation for medical X-Ray image segmentation
TensorFlow Input Pipeline Examples based on multi-thread and FIFOQueue
Find logos in images and videos in just one-shot. Never be embarrassed again to say that you have a small data situation!
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.
finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet
Generative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'
Experiments with artificial neural networks on small datasets.
A dataset for 12 Iranian weed species is provided and several Deep Learning pre-trained models are utilized for the multi-class classification task.
A deep learning based domain knowledge integration for small dataset
A deep learning based domain knowledge integration for small dataset
Homework on training deep networks with very small data - MVA MSc
Cancer detection through a blood test (CancerSEEK) using machine learning techniques.
AutoML tool for imbalanced and small tabular datasets
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.
Tests I am performing on a Python package for building residual multi - layer perceptrons and tandem [any model] -> ResMLPs models, useful for effective transfer learning. A pypi package should be coming soon.
Research log for Clastic Music
This project focused on the analysis of the sleep, activity, food intake, and loop activity of a very small sample of students
My solution of dirty/cleaned plates recognition kaggle task
Attempt to predict the median price of homes in a given Boston suburb in the mid-1970s, given data points about the suburb at the time, such as the crime rate, the local property tax rate, and so on. Only 506 data points, split between 404 training samples and 102 test samples. Each feature in the input data (for example, the crime rate) has a d…
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