model-implementation

From-scratch PyTorch replications of classic and SOTA AI/ML papers: transformers, attention, GANs, diffusion, CLIP, LoRA, MoE and more, with reproducible training code.

LLM-From-Abs-Scratch: A high-performance Large Language Model implementation built from the ground up in C++. Focuses on low-level optimization and architectural clarity.

Educational, from-scratch implementation of a LLaMA-style LLM using PyTorch to explore Transformer architecture fundamentals.

PyTorch implementation of PaliGemma 2

This repository is a collection of code, documentation, and other resources that support the management and automation of a Data Science project.

This is the main project for 6th Kibo Robot Programming Round.

Implementing KANs with TensorFlow

This project utilizes machine learning to address the broad problem of spam through algorithms like Multinomial Naive Bayes and Logistic Regression; it can classify incoming emails as either spam or ham. This project aims to enhance email security and user experience while minimizing the risks of phishing attacks.

Detect sleep onset and wake from wrist-worn accelerometer data

Predictive model for diagnosing diabetes in Pima Indians

A comprehensive machine learning web application for diabetes prediction, featuring real-time model evaluation and interactive performance visualization. This platform combines modern ML techniques with an intuitive interface to help analyze diabetes risk factors and make predictions.

Jupyter is a repository of various Jupyter notebooks that showcase data science and machine learning projects. Each notebook explores different datasets and techniques, providing in-depth analyses, visualizations, and model implementations.

paper implementation repo. i wish i come back to this :)

Detect fraudulent transactions in financial data using machine learning algorithms.

[2024~2025] MIMII 데이터셋을 활용한 이상탐지 + KSNVE AI 챌린지

Google Colab notebooks from my AI learning journey, covering machine learning, data science, and related topics.

End-to-end implementation of Faster R-CNN from scratch, including custom backbone, Region Proposal Network (RPN), and ROI head, trained without pretrained weights to study detection internals and training dynamics.

An ANN-based model was developed to predict the Position Sensor Offset Error (PSOE) in PMSM motors using a single input, accompanied by a user-friendly platform to enhance usability.

Predict which Tweets are about real disasters and which ones are not