super-resolution VS medicalAI

Compare super-resolution vs medicalAI and see what are their differences.

super-resolution

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution (by krasserm)
wdsr edsr Keras super-resolution single-image-super-resolution srgan Tensorflow Tensorflow2
Source Code
Suggest alternative
Edit details

medicalAI

Medical-AI is a AI framework specifically for Medical Applications https://aibharata.github.io/medicalAI/ (by aibharata)
Tensorflow2 medical-imaging ai-framework medical-applications Keras Tensorflow pdf-report Prediction
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
super-resolution medicalAI
2 1
1,452 15
- -
0.0 2.7
almost 2 years ago 11 months ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

super-resolution

Posts with mentions or reviews of super-resolution. We have used some of these posts to build our list of alternatives and similar projects.

medicalAI

Posts with mentions or reviews of medicalAI. We have used some of these posts to build our list of alternatives and similar projects.
  • Tf 2.0 data API help
    1 project | /r/tensorflow | 20 Jan 2021
    For Vision applications you can use look into this library, https://github.com/aibharata/medicalAI/tree/dev-rc. This branch has tf_image_pipelines in data loaders section. That may be of help to you.

What are some alternatives?

When comparing super-resolution and medicalAI you can also consider the following projects:

Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

MIRNet-TFJS - TensorFlow JS models for MIRNet for low-light💡 image enhancement

TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!

SRGAN - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Hands-On-Meta-Learning-With-Python - Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

License-super-resolution - A License Plate Image Reconstruction Project in Tensorflow2

SinGAN - Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

super-resolution vs Fast-SRGAN medicalAI vs GLOM-TensorFlow super-resolution vs MIRNet-TFJS super-resolution vs TrainYourOwnYOLO super-resolution vs SRGAN super-resolution vs Hands-On-Meta-Learning-With-Python super-resolution vs License-super-resolution super-resolution vs SinGAN