waifu2x_srmd-ncnn-vulkan-termux-binary
Pytorch
| waifu2x_srmd-ncnn-vulkan-termux-binary | Pytorch | |
|---|---|---|
| 6 | 341 | |
| 54 | 78,642 | |
| - | 1.9% | |
| 0.0 | 10.0 | |
| over 3 years ago | about 2 hours ago | |
| Shell | Python | |
| MIT License | GNU General Public License v3.0 or later |
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waifu2x_srmd-ncnn-vulkan-termux-binary
- I want to compile Waifu2x and I keep getting these errors, I tried looking for vulkan library (haven't searched OpenCL library) and I found none.
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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
Possibly. Vulkan is usable in Termux. I use Waifu2x to upscale low quality images and movies (via video2x). This uses the GPU to do said upscaling.
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Enhancing video quality in termux
Waifu2x
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GPU Hardware Acceleration
With Vulkan, I use waifu2x to upscale images using ML, which can upscale with increased resolution.
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How do I exactly use this? What are the commands to set it up and to execute in Termux?
Literally, git clone the repository; git clone https://github.com/tanyiok1234/waifu2x_srmd-ncnn-vulkan-termux-binary.git
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?
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
Flux.jl - Relax! Flux is the ML library that doesn't make you tensor
SuperImage - Sharpen your low-resolution pictures with the power of AI upscaling
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
waifu2x-ncnn-vulkan - waifu2x converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
flax - Flax is a neural network library for JAX that is designed for flexibility.
tinygrad - You like pytorch? You like micrograd? You love tinygrad! ❤️ [Moved to: https://github.com/tinygrad/tinygrad]
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
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
tensorflow - An Open Source Machine Learning Framework for Everyone
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.