"One Hidden Layer Neural Network" from Scratch
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
A convolutional neural network (CNN) built from scratch using only NumPy to classify handwritten digits from the MNIST dataset.
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.
ZynkPy is an Interpreted programming language and a Compiled (because i'm going to support that i the future)
Write the K Nearest Neighbors classifier from scratch in Python. Test it on email spam classification dataset.
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
Over 4 weeks, I manually developed a fully connected neural network using only NumPy—without any ML frameworks. It uses Xavier and He initialization, Leaky ReLU activation, L2 regularization, and learning rate decay. The model achieves up to 91% test accuracy and visualizes training, validation, and test losses for early stopping and evaluation.
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.
A minimal NumPy-based implementation of a 3-layer convolutional neural network (CNN) from scratch — including custom forward and backward passes for conv, ReLU, pooling, affine, and softmax layers. Perfect for learning how CNNs actually work under the hood.
neural network from scratch with mnist dataset
MNIST Digit Detector Model using only Numpy
Micrograd is an autograd built from scratch
RSA Keygen
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