"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!
"CNN" from Scratch
"Logistic Regression" 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.
Write the K Nearest Neighbors classifier from scratch in Python. Test it on email spam classification dataset.
Building a Large Language Model from scratch for deep understanding — inspired by Sebastian Raschka’s book, implemented entirely by hand.
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.
Neural Networks: Zero to Hero
This repository explores building a character-level transformer decoder in PyTorch, similar to GPT while focusing more on understanding individual components. My goal is to gain deep transformer knowledge and see if character-level learning improves handling of unseen words. The code allows for hyperparameter tuning and experiment customization.
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
neural network from scratch with mnist dataset
Micrograd is an autograd built from scratch
RSA Keygen
MNIST Digit Detector Model using only Numpy
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