Convolutional-networks Libraries

6 Components & Libraries

Sortby

Convolutional-networks Libraries

StellarGraph - Machine Learning on Graphs

Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can…

TypeDB-ML is the Machine Learning integrations library for TypeDB

You may find the following resources useful, particularly to understand why TypeDB-ML started: Python >= 3.7.x It's expected that you will use Pip to install, but should you need to make your own …

U-Net: Convolutional Networks for Biomedical Image Segmentation

Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available

Note: These Self prepared Interview Questions will be updated weekly.

Super Resolution of picture images using deep learning

Super Resolution of picture images using deep learning. SeRanet upscales picture image size to x2. Before upscale Conventional method: image upscaled with lanczos method (with OpenCV library) Origina…

Image Captioning: Implementing the Neural Image Caption Generator with python

Image captioning is describing an image fed to the model. The task of object detection has been studied for a long time but recently the task of image captioning is coming into light. This repository…