scratch-implementation

There are 2 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.

  single-file-componentvirtual-domvuevue3vuejscompilerhands-ononline-bookscratch-implementationscript-setupreactivity-system
  Language:TypeScript 314
• neograd

  pranftw / neograd

  A deep learning framework created from scratch with Python and NumPy

  aiautogradautomatic-differentiationdeep-learningdeep-learning-frameworkmachine-learningneural-networknumpypythonpytorch-apiscratch-implementation
  Language:Python 233
• Pixel-Processing

  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.

  pythonopencvimage-processingmachine-learningopen-sourceopencv-pythonimplementationscratch-implementationcomputer-visionjupyter-notebookhacktoberfesthacktoberfest2021
  Language:Jupyter Notebook 128
• Algo-ScriptML

  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.

  machine-learning-algorithmsnumpyscratch-implementationpython3python-scriptmlfromscratch
  Language:Python 91

• drumichiro / nmf-and-ntf

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

  collaborative-filteringmatrix-factorizationpythonscratch-implementationtensor-factorization
  Language:Python 37
• ReactPy

  RudreshVeerkhare / ReactPy

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

  reactpython3brythonscratch-implementationwebdevelopmentreact-fiberpypi-package
  Language:Python 25

• 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

  numpyscratch-implementationcnncnn-numpylstm-numpybasemlmodelscratchself-attention
  Language:Jupyter Notebook 22

• 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

  innovatorvedjavascriptnodejsscratch-implementationsocket-programmingsocketswebsockets
  Language:JavaScript 20

• 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

  udacity-nanodegreenatural-language-processinghmm-viterbi-algorithmhmm-modelmachine-translationattention-mechanismspeech-recognitionspeech-to-textencoder-decodernlprecurrent-neural-networksscratch-implementation
  Language:Jupyter Notebook 19

• 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.

  deep-learninggluonjupyter-notebookmachine-learningmxnetneural-networksscratch-implementation
  Language:Jupyter Notebook 17

• davidcamilo0710 / Routing_Reinforcement_Learning

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

  elephant-flowsheavy-hittersreinforcement-learningroutingscratch-implementationsdn
  Language:Python 17

• scratchcpp / libscratchcpp

  C++ library for building Scratch project players

  cppscratchscratch-implementationscratch3
  Language:C++ 16

• scraterpreter / scrape

  Scratch Interpreter for the CLI!

  scratchblockinterpretercppscratch3scratch-implementationhacktoberfestsb3
  Language:C++ 15

• mrdcvlsc / ChaCha20-Poly1305

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

  chacha20-poly1305chacha20poly1305uint512cppaeadaead-authenticated-cryptography-macrfc-8439stream-cipherscratch-implementationarmauthenticated-encryptioncpluspluscryptographydecryptionencryptionkeylibrarysecurityx86-64
  Language:C++ 13

• rohan-paul / Deep-Learning-Paper-Implementation

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

  deep-learningpytorchpytorch-implementationtensorflowtensorflow2python3neural-networksmachine-learningmachine-learning-algorithmsdata-sciencecomputer-visionpaper-implementationsscratch-implementationdeeplearning
  Language:Jupyter Notebook 12

• SnarpleDev / Snazzle

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

  flask-applicationfrontendpython3scratch-implementationself-hosted
  Language:HTML 12

• vaibhavnaagar / cnn

  Convolutional Neural Network implemenation from scratch in python numpy

  machine-learninglenet5numpycnntensorflowpythonscratch-implementationdeep-learningconvolutional-neural-networkscomputer-vision
  Language:Python 11

• 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.

  pytorch-implementationpytorch-tutorialpytorchattention-is-all-you-needattentiontransformerstransformer-modelsscratch-implementationseq2seqneural-networksdeep-learningencoder-decoderpytorch-seq2seqpaper-implementationneural-machine-translationtutorialscratchtorchtextpython
  Language:Jupyter Notebook 10

• 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.

  neural-networkneural-networks-from-scratchmachine-learningartificial-intelligencedeep-learningmnist-classificationmnistscratch-implementation
  Language:Jupyter Notebook 8

• 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.

  avl-treebalanced-binary-search-treescppscratch-implementationtree-traversalavl-tree-implementationavl-tree-implementations
  Language:C++ 8

• 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.

  b-treecppdata-structuresgenericscratch-implementationtemplateb-tree-implementation
  Language:C++ 8

• 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

  k-means-clusteringk-means-implementation-in-pythonnumpyscratch-implementationimage-compression
  Language:Jupyter Notebook 7

• 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. :)

  deep-learningpytorchganscratch-implementation
  Language:Jupyter Notebook 7
• Generative-Adversarial-Network-from-Scratch

  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)

  gandiscriminatorpredictionsgenerative-adversarial-networkneural-networkmachine-learningscratch-implementation
  Language:Jupyter Notebook 6

• vamc-stash / Decision-Tree

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

  decision-treesdecision-tree-classifierdecision-tree-regressionsupervised-learningmachine-learningpython3scratch-implementation
  Language:Python 6

• appxpy / NNFS

  Neural Network From Scratch in C++

  aicmakecpphsepet-projectscratch-implementationneural-network
  Language:C++ 5

• avannaldas / ML-from-scratch

  ML Algorithm implementation from scratch for practice

  machine-learningmachine-learning-algorithmsmachine-learning-practicepythonscratch-implementationkmeans-clustering-algorithm
  Language:Python 5

• Hasnatrasool163 / NeuralNetworkFromScratch

  NeuralNetworkFromScratch

  neuralneural-networkneural-networksnlpnumpy-arraysnumpy-libraryrecognizerscratchscratch-implementation
  Language:Python 5

• pskrunner14 / lstm-from-scratch

  LSTM Network from Scratch in C++

  rnnlstmlong-short-term-memoryseq2seqscratch-implementationc-plus-pluseigen
  Language:C++ 5

• abhishk12 / Implementing-ANN-from-Scratch

  Implementation of Artificial Neural Network (ANN) from scratch to classify whether given image is Food/Non-Food.

  artificial-neural-networkspython3scratch-implementationcomputer-visionimage-classificationdeep-neural-networks
  Language:Jupyter Notebook 4

• DavidCico / Self-implementation-of-a-random-forest-algorithm

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

  algorithmclassification-taskclassification-treesjupyter-notebookmachine-learningmachine-learning-algorithmspythonpython3random-forestscratchscratch-implementation
  Language:Python 4

• DavidCico / Self-implementation-of-KNN-algorithm

  A k-nearest neighbors algorithm is implemented in Python from scratch to perform a classification or regression analysis.

  algorithmjupyter-notebookk-nearest-neighboursknn-classificationknn-regressionmachine-learningmachine-learning-algorithmspythonpython3scratchscratch-implementation
  Language:Python 4

• haidousm / fine

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

  convolutional-neural-networksneural-networkkerasnumpypythonscratch-implementation
  Language:Python 4

• scraterpreter / scrapec

  Compiler for Scrape

  scratchscratch-implementationinterpreterpythonpython3scratch3hacktoberfest
  Language:Python 4

• awsaf49 / pii-data-detection

  The Learning Agency Lab - PII Data Detection || Develop automated techniques to detect and remove PII from educational data.

  jaxkagglekeraskeras-nlpnamed-entity-recognitionnlppytorchscratch-implementationtensorflowtoken-classification
  Language:Jupyter Notebook 3

• TimaGitHub / Neural-Network-from-Scratch

  Neural Network build with numpy and math (no pytorch, keras etc.) for the MNIST dataset

  from-scratchmachine-learningneural-networkpythonscratch-implementation
  Language:Python 3