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Hi there šŸ‘‹

šŸ”­ Iā€™m currently working as a Machine Learning scientist
šŸ‘Æ Iā€™m looking to collaborate on ML and DL with realworld usecase.
šŸ“« How to reach me: [email protected]
šŸ”Ø Portfolio link: https://mustaffa-hussain.github.io/Portfolio/
šŸ’¬ I maintain a Medium Publication @theCyPhy.[ https://medium.com/thecyphy ]We write about ML,DL and other tech changes in the world. Drop message to contribute
āš” Stuck with something, go grab a byte.

MUSTAFFA HUSSAIN's Projects

amazon-fine-food-review icon 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

classifiers-using-sgd icon 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.

crud_app icon crud_app

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.

demo_wsi_superres icon demo_wsi_superres

WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.

dino icon dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

donar-choose-document-classfication icon 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.

eda icon eda

Exploratory Data Analysis done on haberman dataset.

fast-bert icon fast-bert

Super easy library for BERT based NLP models

gan_mlp icon gan_mlp

This repository contains my experiments with the Generative Adversarial setting of Neural Networks.

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

gene-expression-profiling icon gene-expression-profiling

Gene expression profiling can also be used to more accurately classify tumors and understand the heterogeneity within a cancer type.

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

mit-deep-learning icon mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

pca-v-s-t-sne icon pca-v-s-t-sne

It has the comparison study on dimension reduction techniques PCA and t-SNE on MNIST Digit Recognitaion Dataset

performance-metric icon performance-metric

This Repository contains scratch implementations of the famous metrics used to evaluate machine learning models.

pneumonia_detection icon pneumonia_detection

Trained a image classification model to detect if xray of a person has pneumonia or not.

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