starreduction VS GAN-RNN_Timeseries-imputation

Compare starreduction vs GAN-RNN_Timeseries-imputation and see what are their differences.

starreduction

A free and open source tool for star removal in astronomy images. A GAN model implemented in tensorflow and trained to remove stars from astronomical images (by code2k13)

GAN-RNN_Timeseries-imputation

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle. (by IvanBongiorni)
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starreduction GAN-RNN_Timeseries-imputation
1 7
6 164
- -
0.0 0.0
over 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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.

starreduction

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

GAN-RNN_Timeseries-imputation

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

What are some alternatives?

When comparing starreduction and GAN-RNN_Timeseries-imputation you can also consider the following projects:

pix2pix - This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.

AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!

astrophotography_stack_align - Align sequence of star field / astro images taken with a stationary camera (stationary relative to all those stars light years away).

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

nl2bash - Generating bash command from natural language https://arxiv.org/abs/1802.08979

finite-element-networks - Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai