chibivue is a minimal vuejs/core implementations (reactivity, virtual dom, component runtime, compiler, vapor, ssr, store, router, language tools). An online book for building your own Vue.js.
A deep learning framework created from scratch with Python and NumPy
nanoRLHF: from-scratch journey into how LLMs and RLHF really work.
📷 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.
Explanation on what a CNI (Container Network Interface) is and how to write it from scratch.
lm-scratch-pytorch - The code is designed to be beginner-friendly, with a focus on understanding the fundamentals of PyTorch and implementing LLMs from scratch,step by step.
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.
Prithvi is an in-memory key-value database built from scratch in Java, without relying on external frameworks. It provides basic data storage operations, persistence to disk, and essential features like TTL expiry, automatic data management and LRU Cache
This repository guides you through the process of building a GPT-style Large Language Model (LLM) from scratch using PyTorch. The structure and approach are inspired by the book Build a Large Language Model (From Scratch) by Sebastian Raschka.
Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Numpy only
The sample code to study non-negative matrix and tensor factorization.
C++ library for building Scratch project players
Reinforcement Learning (RL)-based routing algorithm for SDN networks created from scratch using Python.
React implementation in Python 3, which runs on the client-side.
A C++ implementation of ChaCha20 & Poly1305 stream cipher described in RFC - 8439.
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
A custom programming language built from scratch, includes full tokenizer, parser, interpeter in Python, variables, loops and more
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.
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.
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