SuperImage
Pytorch
| SuperImage | Pytorch | |
|---|---|---|
| 15 | 340 | |
| 1,184 | 78,016 | |
| - | 1.4% | |
| 10.0 | 10.0 | |
| 8 months ago | 6 days ago | |
| Kotlin | Python | |
| GNU General Public License v3.0 only | BSD 1-Clause License |
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.
SuperImage
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Please help me find HD image for this beautiful Ram-Janki portait.
You can use Upscayl on pc and SuperImage on android to enhance your image so you don't have to find the hd version, both the applications uses you device's gpu to enhance your image.
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AI Browser Extensions Are a Security Nightmare
Not sure about the last argument. I know about at least one offline image upscaler for Android, that is quite popular according to downloads on the Play Market: https://github.com/Lucchetto/SuperImage
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Tried building Pytorch with Vulkan support and here's the result. I'm not sure if I did it correctly though
Since you said upscale here is something : https://github.com/Lucchetto/SuperImage
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[Android Apps] Superimage - Image open source Échec avec l'IA
Ou l'APK directement d'ici: https://github.com/lucchetto/superimage/releases/latest
- Feel free to use as your IPhones background
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AI Enhancer
https://github.com/Lucchetto/SuperImage available on playstore and fdroid
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Hidden Gems in Google Play
Important note for SuperImage:
- SuperImage - Sharpen your low-resolution pictures with the power of AI upscaling
- SuperImage: Sharpen your low-resolution pictures with the power of AI upscaling
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⟳ 2 apps added, 43 updated at f-droid.org
SuperImage (version 1.2.1): Sharpen your low-resolution pictures with the power of AI upscaling
Pytorch
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Clasificador de imágenes con una red neuronal convolucional (CNN)
PyTorch (https://pytorch.org/)
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AI enthusiasm #9 - A multilingual chatbot📣🈸
torch is a package to manage tensors and dynamic neural networks in python (GitHub)
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Einsum in 40 Lines of Python
PyTorch also has some support for them, but it's quite incomplete and has many issues so that it is basically unusable. And its future development is also unclear. https://github.com/pytorch/pytorch/issues/60832
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Library for Machine learning and quantum computing
TensorFlow
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My Favorite DevTools to Build AI/ML Applications!
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
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penzai: JAX research toolkit for building, editing, and visualizing neural nets
> does PyTorch have a similar concept
of course https://github.com/pytorch/pytorch/blob/main/torch/utils/_py...
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Tinygrad: Hacked 4090 driver to enable P2P
fyi should work on most 40xx[1]
[1] https://github.com/pytorch/pytorch/issues/119638#issuecommen...
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The Elements of Differentiable Programming
Sure, right here: https://github.com/pytorch/pytorch/blob/main/torch/autograd/...
Here's the documentation: https://pytorch.org/tutorials/intermediate/forward_ad_usage....
> When an input, which we call “primal”, is associated with a “direction” tensor, which we call “tangent”, the resultant new tensor object is called a “dual tensor” for its connection to dual numbers[0].
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Functions and operators for Dot and Matrix multiplication and Element-wise calculation in PyTorch
*My post explains Dot, Matrix and Element-wise multiplication in PyTorch.
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In PyTorch with @, dot() or matmul():
What are some alternatives?
RealSR-NCNN-Android - An Android application for super-resolution & interpolation. Contains RealSR-NCNN, SRMD-NCNN, RealCUGAN-NCNN, Real-ESRGAN-NCNN, Waifu2x-NCNN, Anime4kcpp, nearest, bilinear, bicubic, AVIR...
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
waifu2x_srmd-ncnn-vulkan-termux-binary - A prebuilt armv8 waifu2x/srmd-ncnn-vulkan binary for termux
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
WLANScanner - WLANScanner is an Android App for analysing the WiFi networks in range.
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
SHARK - SHARK - High Performance Machine Learning Distribution
flax - Flax is a neural network library for JAX that is designed for flexibility.
secret-space-encryptor-for-android
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
Sound-Toggle - Sound Toggle is an android application that quickly switches the audio mode of your android device between Normal, Vibrate and Silent by using a tile.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more