TensorLayer VS SRGAN

Compare TensorLayer vs SRGAN and see what are their differences.

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TensorLayer SRGAN
1 1
7,275 3,205
0.0% 0.6%
0.0 2.7
about 1 year ago 2 months ago
Python Python
GNU General Public License v3.0 or later -
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.

TensorLayer

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

SRGAN

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

What are some alternatives?

When comparing TensorLayer and SRGAN you can also consider the following projects:

nngen - NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network

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

chainerrl - ChainerRL is a deep reinforcement learning library built on top of Chainer.

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

gpt-j-chatbot - A GPT-J Chatbot Template for creating AI Characters (Virtual Girlfriend Chatbot, Replika-esque)

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

yagooglesearch - Yet another googlesearch - A Python library for executing intelligent, realistic-looking, and tunable Google searches.

fps_highlights - Make beautiful highlights from FPS vidéos

biprop - Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing the network.

quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

TicTacToe - Tic Tac Toe game, designed to be used to train a Deep Neural Network via Reinforcement Learning (DQN). It can also be played by 2 humans and features a hard coded AI that never looses and will win if you do not do perfect play against it.

rlalgorithms-tf2 - Packaged deep reinforcement learning algorithms in tensorflow 2.x