[ICML2024] Unified Training of Universal Time Series Forecasting Transformers
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Updated
Aug 16, 2024 - Jupyter Notebook
[ICML2024] Unified Training of Universal Time Series Forecasting Transformers
Collection of awesome parameter-efficient fine-tuning resources.
🎉 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.
Fine-tuning GPT-2 models with custom text corpora, utilizing Hugging Face's Transformers library and advanced training techniques for sophisticated text generation applications.
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 retrieval and duplicate detection.
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.
A concept on how Machine Learning (ML) can be integrated on Web apps
Testing methods in PTM enabled OSS
Using deep learning models to accurately classify pet images into different breeds and types, demonstrating effective image classification and model evaluation.
Welcome to a diverse collection of hands-on ML, AI, Python, and Data Science projects. Explore and learn through practical applications. Happy coding! 🚀
Registration of pre-trained models found on Hugging Face using blockchain technology
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.
dis-cyril is an Alexa like using pre-trained models and buzin.
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