🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.

Vietnamese Legal Question Answering with Machine Reading Comprehension (MRC) and Answer Generation (AG) approches.

Fine-tuning GPT-2 models with custom text corpora, utilizing Hugging Face's Transformers library and advanced training techniques for sophisticated text generation applications.

Using deep learning models to accurately classify pet images into different breeds and types, demonstrating effective image classification and model evaluation.

Streamlit app that predicts if a painting is a van Gogh

The "Object Detection and Identification Model" is an AI project employing YOLO v3, a pretrained model, and Python. It enables efficient and accurate detection and identification of objects in images, showcasing the prowess of advanced computer vision technology.

This project is a basic face recognition system built using Python and libraries like OpenCV, NumPy, and dlib. It can detect and recognize faces from images and videos by comparing the detected faces with known faces stored in the system.

dis-cyril is an Alexa like using pre-trained models and buzin.