This repository contains demos I made with the Transformers library by HuggingFace.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

A small package to create visualizations of PyTorch execution graphs

Public repo for DeepLearning.AI MLEP Specialization

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Lane Finding Project for Self-Driving Car ND

A Simplified PyTorch Implementation of Vision Transformer (ViT)

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

Experiments on how to use machine learning to rank a product catalog

Gathers Tensorflow deep learning models.

Husein pet projects in here!

My ML/AI blog

Document Enhancement Generative Adversarial Networks

Face Recognition and Detection using Eigenface method from scratch

Classification of cats and dogs using Pytorch

DE-GAN Pytorch Implementation

CNN backward propagation explained

Pytorch is used to train the data in order to generalize the machine learning model to predict emotions, given an image or live feed video

K-Means algorithm implemented from scratch

Time series analysis is for preparatory step before we develop a forecast of a time series.

Prediction of Bounding Box on Road Sign Images

Theory and Implementation of Linear Regression from scratch

Collection of my ML/A.I. works

KNN is a supervised machine learning algorithm that can be used to solve both classification and regression problems.

The project shows how to visualize and clean raw data

Simple Neural Network with Pytorch using handwritten numbers as data from torch