#计算机科学#Unified Training of Universal Time Series Forecasting Transformers
#Awesome#Collection of awesome parameter-efficient fine-tuning resources.
#计算机科学#🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
#计算机科学#The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.
#时序数据库#About Code release for "Timer-XL: Long-Context Transformers for Unified Time Series Forecasting"
Vietnamese Legal Question Answering with Machine Reading Comprehension (MRC) and Answer Generation (AG) approches. (KSE 2024)
#计算机科学#Compare image similarity using features extracted from the pre-trained VGG16 model. This project leverages cosine similarity for accurate visual similarity assessment, making it ideal for image retrie...
#自然语言处理#Fine-tuning GPT-2 models with custom text corpora, utilizing Hugging Face's Transformers library and advanced training techniques for sophisticated text generation applications.
#计算机科学#We built this project during a hackathon to detect emergency vehicles in real-time. Although we had to stop development after reaching the third level, the system still works well for identifying emer...
#计算机科学#Streamlit app that predicts if a painting is a van Gogh
#计算机科学#Using deep learning models to accurately classify pet images into different breeds and types, demonstrating effective image classification and model evaluation.
#计算机科学#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,...
#人脸识别#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 ...
This project demonstrates how to fine-tune a pre-trained ResNet18 model using PyTorch for binary classification. This model is adapted to identify images in two classes Positive and Negative.
dis-cyril is an Alexa like using pre-trained models and buzin.
#计算机科学#A concept on how Machine Learning (ML) can be integrated on Web apps
#计算机科学#Testing methods in PTM enabled OSS
Landmark Detection using pre-trained models.
A semester project using ShuffleNet, MobileNetV3 Small & ResNet50 to classify real and fake faces with the specified dataset that taken from Kaggle.
Registration of pre-trained models found on Hugging Face using blockchain technology