jarconfig VS Fast-SRGAN

Compare jarconfig vs Fast-SRGAN and see what are their differences.

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jarconfig Fast-SRGAN
3 -
17 638
- -
0.0 0.0
about 2 years ago about 2 months ago
Python Python
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.

jarconfig

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

Fast-SRGAN

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

We haven't tracked posts mentioning Fast-SRGAN yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing jarconfig and Fast-SRGAN you can also consider the following projects:

Swin-Transformer-Tensorflow - Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)

a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

mastercomfig - A modern customization framework for Team Fortress 2

awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments

scalu - scalu is an event-based programming language and compiler targeting config files in Valve's Source Engine

iSeeBetter - iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

tf-explain - Interpretability Methods for tf.keras models with Tensorflow 2.x

super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

CleanTF2plus - Clean TF2's sequel

EDSR_Tensorflow - TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.

EGVSR - Efficient & Generic Video Super-Resolution