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Welcome to the Pytorch Essentials repository! This Repo aims to cover fundamental to advanced topics related to PyTorch, providing comprehensive resources for learning and mastering this powerful deep learning framework.
Welcome to the repository of our garbage classification project! We have developed a model using PyTorch and EfficientNet-B4 that classifies garbage into twelve different types. The model has achieved an impressive accuracy of 98.45%.
Classifying images of trash (glass, metal, paper, plastic) using neural networks. Term project of 'APS360 - Applied Fundamentals of Deep Learning' taken at the University of Toronto. Team members: Matthew Vernooy, Danny Kung, Tiffany Costas.
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Welcome to MindfulML, where innovation meets insight in the realm of machine learning. Join us as we explore the wonders of artificial intelligence and unleash the potential of data science. Together, let's journey into the future of technology, one algorithm at a time.
Autonomous drone system utilizing image analysis and dynamic movement adjustments for smoke plume tracking and particle sampling : GAIA-drone-control Project