This project focused on the analysis of the sleep, activity, food intake, and loop activity of a very small sample of students
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Updated
May 30, 2021 - Jupyter Notebook
This project focused on the analysis of the sleep, activity, food intake, and loop activity of a very small sample of students
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.
A deep learning based domain knowledge integration for small dataset
This repo contains previous years' codejam solutions
Research log for Clastic Music
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
Homework on training deep networks with very small data - MVA MSc
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…
Code for the paper "An Empirical Analysis of KDE-based Generative Models on Small Datasets"
Cancer detection through a blood test (CancerSEEK) using machine learning techniques.
My solution of dirty/cleaned plates recognition kaggle task
Mixture of Experts from scratch
Experiments with artificial neural networks on small datasets.
Project to scrape CFTC.gov reports and present using Power Query & Power Pivot
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.
Generative Latent Implicit Conditional Optimization when Learning from Small Sample ICPR 20'
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.
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