MUSTAFFA HUSSAIN's Projects
This dataset consists of reviews of fine foods from amazon. The data span a period of more than 10 years, including all ~500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. It also includes reviews from all other Amazon categories
The repository contains the code solution to BBC Multi Class Classification problem hosted on Kaggle.
This repository has the implementation of Logistic Regression using the method of Stochastic Gradient Descent without using sklearn. This is implemented from scratch.
It covers Flask Restful API and Atlas MongDb. Its a very lightweight app which perform CRUD operations. Its the skeleton of making an app. Just clone it and deploy in docker. Good to go.
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
It contains application of naive bayes model on a big textual data set. The problems is an example of NLP based solution on 2 different kind of vetorization.
Exploratory Data Analysis done on haberman dataset.
Super easy library for BERT based NLP models
This repository contains my experiments with the Generative Adversarial setting of Neural Networks.
starter from "How to Train a GAN?" at NIPS2016
Curated list of awesome GAN applications and demo
Gene expression profiling can also be used to more accurately classify tumors and understand the heterogeneity within a cancer type.
Welcome!
Deep Learning for humans
Keras implementations of Generative Adversarial Networks.
Mastering Computer Vision with TensorFlow 2.0, published by Packt
This repository contains Matlab codes for some mathematical topics in computer science.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
public website
An easy to follow course of OpenCV using Python for beginners.
It has the comparison study on dimension reduction techniques PCA and t-SNE on MNIST Digit Recognitaion Dataset
This Repository contains scratch implementations of the famous metrics used to evaluate machine learning models.
Trained a image classification model to detect if xray of a person has pneumonia or not.
contains the files for my portfolio