scratch-implementation
There are 219 repositories under scratch-implementation topic.
ubugeeei/chibivue
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.
pranftw/neograd
A deep learning framework created from scratch with Python and NumPy
geekquad/Pixel-Processing
📷 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.
Algo-Phantoms/Algo-ScriptML
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.
drumichiro/nmf-and-ntf
The sample code to study non-negative matrix and tensor factorization.
deshwalmahesh/ML-Models-from-Scratch
Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Numpy only
RudreshVeerkhare/ReactPy
React implementation in Python 3, which runs on the client-side.
scratchcpp/libscratchcpp
C++ library for building Scratch project players
hjian42/Natural-Language-Processing-Nanodegree
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
innovatorved/node-sockets
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
davidcamilo0710/Routing_Reinforcement_Learning
Reinforcement Learning (RL)-based routing algorithm for SDN networks created from scratch using Python.
braindotai/Deep-Learning-Scratch-Arena
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.
scraterpreter/scrape
Scratch Interpreter for the CLI!
mrdcvlsc/ChaCha20-Poly1305
A C++ implementation of ChaCha20 & Poly1305 stream cipher described in RFC - 8439.
SnarpleDev/Snazzle
A better frontend for Scratch, built by the community, for the community
KhaledAshrafH/B-Tree
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.
rishabkr/Attention-Is-All-You-Need-Explained-PyTorch
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.
rohan-paul/Deep-Learning-Paper-Implementation
From Scratch Implementation of some popular Deep Learning Papers with PyTorch and Tensorflow
vaibhavnaagar/cnn
Convolutional Neural Network implemenation from scratch in python numpy
KhaledAshrafH/AVL-Tree
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.
Adioosin/image-compression-using-k-mean
This notebook consist of implementation of K-Mean clustering algorithm on an image to compress it from scratch using only numpy
anh-nn01/Neural-Network-from-Scratch--Hand-written-Digits-classifier
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.
sushant097/Deep-Learning-Paper-Scratch-Implementation
It consists of various deep learning paper implementations from scratch, including GANs, Transformers, and more with PyTorch or TensorFlow. Your feedback is highly appreciated. :)
0xpranjal/Generative-Adversarial-Network-from-Scratch
This repository is to demonstrate how we can create new images of a distribution of images with a Generative Adversarial Network (GAN)
awsaf49/pii-data-detection
The Learning Agency Lab - PII Data Detection || Develop automated techniques to detect and remove PII from educational data.
vamc-stash/Decision-Tree
Implements Decision tree classification and regression algorithm from scratch in Python.
appxpy/NNFS
Neural Network From Scratch in C++
avannaldas/ML-from-scratch
ML Algorithm implementation from scratch for practice
hallvardnmbu/neurons
Modular neural networks from scratch, in Rust.
Hasnatrasool163/NeuralNetworkFromScratch
NeuralNetworkFromScratch
pskrunner14/lstm-from-scratch
LSTM Network from Scratch in C++
abhishk12/Implementing-ANN-from-Scratch
Implementation of Artificial Neural Network (ANN) from scratch to classify whether given image is Food/Non-Food.
ASHOKKUMAR-K/Machine-Learning-Algorithms-From-Scratch
This Repository consists of popular Machine Learning Algorithms implemented from scratch using python
haidousm/fine
an artificial neural network framework built from scratch using just Python and Numpy
scraterpreter/scrapec
Compiler for Scrape
TerboucheHacene/StyleGAN-pytorch-lightning
Pytorch Lightning Implementation of StyleGAN