Developing a well-documented repository for the Lung Nodule Detection task on the Luna16 dataset. This work is inspired by the ideas of the first-placed team at DSB2017, "grt123".
-
Updated
Sep 8, 2021 - Jupyter Notebook
Developing a well-documented repository for the Lung Nodule Detection task on the Luna16 dataset. This work is inspired by the ideas of the first-placed team at DSB2017, "grt123".
TensorFlow (Keras) implementation of MobileNetV3 and its segmentation head
Computer vision deep learning example notebook
Neural Networks with TensorFlow 2 and Keras in Python (Jupyter notebooks included)
This repository contains the jupyter notebook catering to demonstrating the image augmentation techniques using pytorch.
RAG system using Hugging Face models, multiple vector stores (Chroma, Pinecone, FAISS), and CRAG, with sentence transformers and benchmarking tools for optimized retrieval and content generation.
Contained in this repository are the Jupyter notebooks that contain the scripts used in this project. Examples include: exploratory data analysis, creation of training, validation and test data sets, and CNN model development and data extraction.
Add a description, image, and links to the augmentation topic page so that developers can more easily learn about it.
To associate your repository with the augmentation topic, visit your repo's landing page and select "manage topics."