MUSTAFFA HUSSAIN's repositories
TFIDF-Vectorization
( Scratch development ) Term Frequency Inverse Document Frequency is a vectorization technique used widely in Natural Language Processing. The vectorization effectively gives importance to rare words and important words.
Amazon-fine-food-review
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
BBC-News-Multi-class-classification
The repository contains the code solution to BBC Multi Class Classification problem hosted on Kaggle.
demo_wsi_superres
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
DONAR-CHOOSE-Document-classfication
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.
gene-expression-profiling
Gene expression profiling can also be used to more accurately classify tumors and understand the heterogeneity within a cancer type.
Classifiers-using-SGD
This repository has the implementation of Logistic Regression using the method of Stochastic Gradient Descent without using sklearn. This is implemented from scratch.
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
GopiSumanth
Welcome!
Mastering-Computer-Vision-with-TensorFlow-2.0
Mastering Computer Vision with TensorFlow 2.0, published by Packt
Mathematical-Topics-In-computer-science
This repository contains Matlab codes for some mathematical topics in computer science.
mustaffa-hussain
my profile readme
OpenCV-Python-Tutorials-and-Projects
An easy to follow course of OpenCV using Python for beginners.
Pneumonia_detection
Trained a image classification model to detect if xray of a person has pneumonia or not.
Portfolio_v1
contains the files for my portfolio
Regression
It has a working comparison study between Linear regression ,Support vector regression and Random forest Regression
UniverSeg
UniverSeg: Universal Medical Image Segmentation