Analysis of DNA Sequence Classification Using Neural Networks.
In a general computational context for biomedical data analysis, DNA sequence classification is a crucial challenge. Several machine learning techniques have used to complete this task in recent years successfully. Identification and classification of viruses are essential to avoid an outbreak like COVID-19. Regardless, the feature selection process remains the most challenging aspect of the issue. The most commonly used representations worsen the case of high dimensionality, and sequences lack explicit features. It also helps in detecting the effect of viruses and drug design. In recent days, deep learning (DL) models can automatically extract the features from the input. In this work, we employed MLP using Label and K-mer encoding for DNA sequence classification.
A collection of notebooks with TensorFlow and the Keras API for various deep-learning and machine learning problems
A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.
Multi-class confusion matrix library in Python
In this repository, I include all my notes and whatever I learn, so that everyone can benefit from them
Face Analysis: Detection, Age Gender Estimation & Recognition
In this repository, I share codes of the introduction to python courses published on my youtube channel
An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!
Interpretability methods applied on image classifiers trained on MNIST and CIFAR10