A web app where user can draw Bengali digit and the AI model can detect handwritten digit and predict the digit.

Neural Network aided diagnosis of Schizophrenia via patient-centered text Data

Manual pure scratch code of Convolution-Pooling-Dropout

2nd Project of Course 'Machine Learning' of the SMARTNET programme. Taken at the National and Kapodistrian University of Athens.

Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".

Deep Networks with Stochastic Depth for PyTorch

Implementation of neural network in NumPy with Keras like interface

In this repository, I put into test my newly acquired Deep Learning skills in order to solve the Kaggle's famous Image Classification Problem, called "Dogs vs. Cats".

Machine learning Algorithms for the Prediction of Successful Aging in Older Adults

This repository is associated with the paper "Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling", accepted at EACL 2023.

Pytorch implementation of Adaptative Dropout a.ka Standout.

Covid-19 | Quantifying Uncertainty in Blood Oxygen Estimation Models from Real-World Data

A suite of the generalization-improvement techniques Stroke, Pruning, and NeuroPlast

Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization (IEEE TPAMI 2021)

📄 Official implementation regarding the paper "Fine-Tuning Dropout Regularization in Energy-Based Deep Learning".

[PAKDD 2022] Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning

Lightweight library to build and train neural networks in Theano

Convoluted Neural Network for classifying the FashionMNIST data set. Recognition of multiple clothing objects on the same picture with noise using the trained model and OpenCV.