pre-trained-models

#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

#时序数据库#About model release for "Timer-XL: Long-Context Transformers for Unified Time Series Forecasting"

#计算机科学#[CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.

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.

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.

#计算机科学#Streamlit app that predicts if a painting is a van Gogh

#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#Testing methods in PTM enabled OSS

#自然语言处理#CNN-RNN image captioning system using TensorFlow/Keras with VGG16 feature extraction and LSTM decoder. Interactive Streamlit web app for real-time caption generation from uploaded images, trained on F...

#计算机科学#Code for the ICML 2025 paper: "Adjustment for Confounding using Pre-Trained Representations"

#自然语言处理#⚡ Fine-tune Gemma 3 270M on Apple Silicon with MLX, using minimal setup for diverse datasets like Alpaca and SQL to enhance model performance.

A semester project using ShuffleNet, MobileNetV3 Small & ResNet50 to classify real and fake faces with the specified dataset that taken from Kaggle.

#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 ...

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