GPT
Collection of experiments and utilities for building, training, and serving GPT-style language models, including configuration, data pipelines, and deployment-ready code.
[Code]Generative AI/Computer Vision / ML Research Engineer, Fascinated about AI
I'm a Generative Ai/ Computer Vision / ML Research Engineer working in Seoul, South Korea. My current research and work lies in Advance Driving Assistant by utilizing CV/ML/DL.
Collection of experiments and utilities for building, training, and serving GPT-style language models, including configuration, data pipelines, and deployment-ready code.
[Code]End-to-end voice assistant backend combining speech interfaces with LLM-based reasoning to handle natural, conversational interactions over audio.
[Code]
Deepagents is a simple, open source agent harness that implements a few generally useful tools, including planning (prior to task execution), computer access (giving the able access to a shell and a filesystem), and sub-agent delegation (isolated task execution)
[Code]Practical setups and infrastructure templates for deploying LLMs in production using containerized runtimes, GPU-optimized stacks, and serving frameworks.
[Code]
LLM Chat assiatant which also keep track of your chat history until browser session is alive Server is deployed with FastAPI and ngnix
[DEMO]
LLM2 Model was transefered learned and fine tunned for general conversations
[Code]
Inasive ductal carcinoma (IDC) is - with ~ 80 % of cases - one of the most common types of breast cancer. It's malicious and able to form metastases which makes it especially dangerous.
For training, First is transferd learnt using imagenet weights, and later finetuned. System can predict healthy or cancerious tissues above 90%.
[Code]
Design, data modeling and implementation of deep learning algorithm to predict different expressions of human given an image
[Code]
Image registration is necessary when images from multiple viewpoints need be brought into common coordinate system. Image registration techniques can be classified as area-based methods and feature-based methods. s. In this paper, we propose a mixture of two methods termed as featured area-based method.
[Paper]