deep-learning

A curated full-stack LLM engineering playbook — from AI infrastructure and model lifecycle to agents, MCP, memory, and evaluation.

Deep Learning and Computer Vision application for chessboard detection and chess pieces classification.

A Classification Approach: Making LLM Knowledge-Aware

Fast and practical image deraining with PyTorch.

The ultimate desktop app for tracking, managing, and validating AI models from Hugging Face, Civitai, OpenModelDB & more.

Chinese-Multimodal-Sentiment-Analysis is an innovative project that integrates advanced deep learning techniques to analyze sentiments in Chinese language data. Utilizing a sophisticated blend of textual, audio, and visual modalities, this project offers a comprehensive approach to understanding and interpreting complex emotional expressions.

Pytorch code for "BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change"

基于Qwen2.5-VL-3B + QLoRA的智能驾驶场景结构化理解系统

An automated solution for fact-checking using available claims and fake-news datasets to fine-tune state-of-the-art language models published recently for NLP tasks (BERT, RoBERTa, XLNet, ConvBERT...) in order to classify unseen claims.

This project aims to develop an innovative anomaly detection system using advanced data mining and deep learning techniques to accurately identify and localize defects in manufacturing components, thereby enhancing quality control processes and reducing production losses.

Code the ICML 2024 paper: "Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models"

YOLOv26 and RF-DETR object detection for civilians, rescuers, and animals in disaster scenarios. Real-time support for emergency response in floods and structural collapses.

Machine Learning Operations with a denoising diffusion model using a butterfly dataset

template for duplicating and executing Hugging Face Spaces either on SM Studio Lab, Google Colab, or locally.

Code and dataset for paper - Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique

Use Transformers.js from Blazor WebAssembly to run pretrained models with the ONNX Runtime in the browser.

Gradio-based web UI for medical image interpretation using Google's MedGemma vision-language model.

Engineered an advanced deep learning model to automate the classification of financial documents, including Balance Sheets, Cash Flow and Income Statements using Bidirectional LSTM and TensorFlow. The model achieved an impressive accuracy of 96.2%, enhancing efficiency and reducing errors in document management for the finance and banking sectors.

🧠 | Multimodal Integration of Oncology Data System

제주어, 표준어 양방향 음성 번역 모델 생성 프로젝트 (알고리즘 | 비정형 | NLP | 딥러닝 | 기계번역 | 음성인식 | 멀티모달)