Landmark Detection using pre-trained models.
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Updated
Feb 16, 2023 - Jupyter Notebook
Landmark Detection using pre-trained models.
Fine-tuning GPT-2 models with custom text corpora, utilizing Hugging Face's Transformers library and advanced training techniques for sophisticated text generation applications.
Representation Abstractions as Incentives for Reinforcement Learning Agents: A Robotic Grasping Case Study
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.
Welcome to a diverse collection of hands-on ML, AI, Python, and Data Science projects. Explore and learn through practical applications. Happy coding! 🚀
Streamlit app that predicts if a painting is a van Gogh
A concept on how Machine Learning (ML) can be integrated on Web apps
Registration of pre-trained models found on Hugging Face using blockchain technology
dis-cyril is an Alexa like using pre-trained models and buzin.
[ICML2024] Unified Training of Universal Time Series Forecasting Transformers
Collection of awesome parameter-efficient fine-tuning resources.
The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.
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.
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
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