Fast-SRGAN VS CleanTF2plus

Compare Fast-SRGAN vs CleanTF2plus and see what are their differences.

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Fast-SRGAN CleanTF2plus
- 8
638 114
- -
0.0 2.5
about 2 months ago 13 days ago
Python Batchfile
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.

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.

CleanTF2plus

Posts with mentions or reviews of CleanTF2plus. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-17.

What are some alternatives?

When comparing Fast-SRGAN and CleanTF2plus you can also consider the following projects:

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

ZeesHUD-UnDonored - A stylish and ambitious TF2 HUD project. Modified by Lead/p3tr1ch0r to fix the donator related issues

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

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

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

seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

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

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

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

yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0

EGVSR - Efficient & Generic Video Super-Resolution

mastercomfig - A modern customization framework for Team Fortress 2