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 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.
📷 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
Repo for ML Models built from scratch such as Self-Attention, Linear +Logistic Regression, PCA, LDA. CNN, LSTM, Neural Networks using Numpy only
C++ library for building Scratch project players
The sample code to study non-negative matrix and tensor factorization.
React implementation in Python 3, which runs on the client-side.
Reinforcement Learning (RL)-based routing algorithm for SDN networks created from scratch using Python.
a from-scratch, pure-C deep learning library for CPU-only training, emphasizing high performance and no external ML dependencies.
28 machine learning algorithms in plain NumPy, from linear regression to XGBoost, UMAP and learning-to-rank. Every algorithm has a runnable demo and a guide that explains the maths next to the code. Learn ML from scratch, prepare for interviews, or teach it.
A C++ implementation of ChaCha20 & Poly1305 stream cipher described in RFC - 8439.
Implementation of build an LLM from scratch by Sebastian Raschka.
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.
A custom programming language built from scratch, includes full tokenizer, parser, interpeter in Python, variables, loops and more
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