Implementation of a small GPT-style transformer from scratch in PyTorch. Learn how Large Language Models work by building, training, generating text, and visualizing attention.
"One Hidden Layer Neural Network" from Scratch
A convolutional neural network (CNN) built from scratch using only NumPy to classify handwritten digits from the MNIST dataset.
This repository implements a vector search solution based on image and text embeddings. Users can search for similar products using an image or a textual description.
"Deep Neural Network" from Scratch
A brand new programming language designed for developers with diverse coding interests!
"Logistic Regression" from Scratch
"CNN" from Scratch
Includes the codes and report for Take Home Exam 2 of the CENG483 course (Introduction to Computer Vision). The purpose of this THE is to gain insight related to harris interest point detection.
从零手撕大模型整个生命周期的核心算子（如tokenization、RMSNorm、RoPE和LoRA），附带对应论文的阅读详解和笔记整理！！
A STRONG CHESS BOT WITH A GUI INTERFACE MADE PURELY IN PYTHON FROM SCRATCH
Write the K Nearest Neighbors classifier from scratch in Python. Test it on email spam classification dataset.
Interactive CLI-based KNN implementation from scratch with data processing, statistics, visualization, feature normalization, and accuracy computation functionalities.
Includes the codes and report for Take Home Exam 1 of the CENG483 course (Introduction to Computer Vision). The purpose of the THE is familiarize ourselves with the concept of various types of histogram.
Building a Large Language Model from scratch for deep understanding — inspired by Sebastian Raschka’s book, implemented entirely by hand.
ML algorithms implemented from scratch in Python, with small projects for better understanding.
A browser from scratch written in Python, with the Arcade and Pyglet modules. Code is based on browser.engineering's tutorial.
Disclaimer: The content of the repository is based on the tutorial made by Thibault Polge. My goal is just to learn more about Git. Every implementation was done NOT just by copying and pasting, but by trying to understand each line and each command that was being typed.
This is the source code of the work for Assignment-2, Statistical Methods in AI, 5th Semester, IIITH, '22
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