chibivue is minimal Vue.js v3 core implementations (Reactivity System, Virtual DOM, Component, Compiler (Template, SFC)). An online book for building your own Vue.js.

A deep learning framework created from scratch with Python and NumPy

📷 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.

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.

The sample code to study non-negative matrix and tensor factorization.

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

Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Numpy only

A custom implementation of web sockets using Node.js, a runtime environment for JavaScript. Web sockets enable real-time communication between a client (e.g. web browser) and server, often used for applications needing real-time updates like chat rooms or collaborative platforms

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.

Reinforcement Learning (RL)-based routing algorithm for SDN networks created from scratch using Python.

C++ library for building Scratch project players

Scratch Interpreter for the CLI!

A C++ implementation of ChaCha20 & Poly1305 stream cipher described in RFC - 8439.

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

A better frontend for Scratch, built by the community, for the community

Convolutional Neural Network implemenation from scratch in python numpy

A paper implementation and tutorial from scratch combining various great resources for implementing Transformers discussesd in Attention in All You Need Paper for the task of German to English Translation.

This contains a C++ code that implements a B-Tree data structure. A B-Tree is a self-balancing tree that can store and retrieve data efficiently. It is commonly used in databases and file systems.

This is a C++ implementation of an AVL tree, which is a self-balancing binary search tree. An AVL tree maintains the balance factor of each node, which is the difference between the heights of its left and right subtrees. Whenever a node becomes unbalanced (its balance factor is either -2 or 2), the tree performs a rotation to restore the balance.