SRGAN VS fps_highlights

Compare SRGAN vs fps_highlights and see what are their differences.

SRGAN

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (by tensorlayer)

fps_highlights

Make beautiful highlights from FPS vidéos (by MohamedKiouaz)
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
SRGAN fps_highlights
1 1
3,205 1
0.8% -
2.7 5.8
2 months ago 7 months ago
Python Python
- -
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.

SRGAN

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

fps_highlights

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

What are some alternatives?

When comparing SRGAN and fps_highlights 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

fastaudio - 🔊 Audio and fastai v2

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

NCRFpp - NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers

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