traiNNer
IEU.Winforms
| traiNNer | IEU.Winforms | |
|---|---|---|
| 4 | 3 | |
| 275 | 172 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | almost 2 years ago | |
| Python | C# | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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.
traiNNer
-
Unable to run stable diffusion locally
git clone https://github.com/victorca25/traiNNer.git
- Upscaling video to 1080p...
-
Anime ESRGAN superresolution upscaler, trained by JoeyBallentine
Models like NMKD's mentioned 4x_NMKD-YandereNeoXL_200k were trained using this repo: https://github.com/victorca25/BasicSR , which is constantly being updated with new techniques and options.
-
Ed, Edd N Eddy: Definitive Edition
Updates: 05/07/2021: First of all, another HUGE shoutout to CG1989 who has actually been doing all the legwork processing for Season 1 as I am currently stuck up on upscaling the movie (screenshots coming soon). MEGA Links will be provided for each season as they are finished if allowed by the subreddit (noticed there have been other upscale projects here with link so I would assume that's not a problem). Also the screenshots here are actually from our release contrary to what it was made to be believe. Credit to victorca and ptrsuder for improving upon the original basicSR, as well as Honh for providing these wonderful tools making the training and accessible usage of our models possible https://github.com/victorca25/BasicSR https://github.com/ptrsuder/IEU.Winforms/releases/tag/0.11.0
IEU.Winforms
-
Good image upscaler i use (see comments)
Highly recommend getting into Image Enhancing Utility You download models created by the community that are trained on different data sets such as photos or cartoons. You can get some pretty great results and depending on your graphics card it takes less than 30 seconds per image.
-
About upscaling normal map
You can use IEU (https://github.com/ptrsuder/IEU.Winforms) GUI for upscaling.
-
Ed, Edd N Eddy: Definitive Edition
Updates: 05/07/2021: First of all, another HUGE shoutout to CG1989 who has actually been doing all the legwork processing for Season 1 as I am currently stuck up on upscaling the movie (screenshots coming soon). MEGA Links will be provided for each season as they are finished if allowed by the subreddit (noticed there have been other upscale projects here with link so I would assume that's not a problem). Also the screenshots here are actually from our release contrary to what it was made to be believe. Credit to victorca and ptrsuder for improving upon the original basicSR, as well as Honh for providing these wonderful tools making the training and accessible usage of our models possible https://github.com/victorca25/BasicSR https://github.com/ptrsuder/IEU.Winforms/releases/tag/0.11.0
What are some alternatives?
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
rundev-models
ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset
Anime4K - A High-Quality Real Time Upscaler for Anime Video
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
ESRGAN - A modified version of the original ESRGAN test.py script with added features
ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
CryptoNets - CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-t