scratch-implementation

📷 This repository is focused on having various feature implementation of OpenCV in Python. The aim is to have a minimal implementation of all OpenCV features together, under one roof.

A deep learning framework created from scratch with Python and NumPy

Scripts of Machine Learning Algorithms from Scratch. Implementations of machine learning models and algorithms using nothing but NumPy with a focus on accessibility. Aims to cover everything from basic to advance.

Natural Language Processing Nanodegree from Udacity Platform, in which I implement Hidden Markov Model for POS Tagger, Bidirectional LSTM for English-French Machine Translation, and End-to-End LSTM-based Speech Recognition

Implementing most important basic building blocks of Deep Learning from scratch. My goal is to provide high quality Scratch Implementations of the fundamentals of Deep Learning and its applications, with interactive well documentated jupyter notebooks. All notebooks come along with implementations using Tensorflow, MXNet and Pytorch.

React implementation in Python 3, which runs on the client-side.

Scratch Interpreter for the CLI!

Convolutional Neural Network implemenation from scratch in python numpy

This is my first Deep Learning project, which is a MNIST hand-written digits classifier. The model is implemented completely from scratch WITHOUT using any prebuilt optimization like Tensorflow or Pytorch. Tensorflow is imported only to load the MNIST data set. This model also uses 2 hidden layers with Adaptive Moment Optimization (Adam) and Drop-out regularization.

This notebook consist of implementation of K-Mean clustering algorithm on an image to compress it from scratch using only numpy

It consists of various deep learning paper implementations from scratch, including GANs, Transformers, and more with PyTorch or TensorFlow. Your feedback is highly appreciated. :)

This repository is to demonstrate how we can create new images of a distribution of images with a Generative Adversarial Network (GAN)

ML Algorithm implementation from scratch for practice

an artificial neural network framework built from scratch using just Python and Numpy

Implements Decision tree classification and regression algorithm from scratch in Python.

LSTM Network from Scratch in C++

A simple and interactive viewing tool to explore the Mandelbrot set.

A random forest algorithm is implemented in Python from scratch to perform a classification analysis.

Compiler for Scrape

From Scratch Implementation of some popular Deep Learning Papers with PyTorch and Tensorflow