A High-Quality Real Time Upscaler for Anime Video
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Updated
Aug 17, 2024 - Jupyter Notebook
A High-Quality Real Time Upscaler for Anime Video
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
XAI - An eXplainability toolbox for machine learning
Tensorflow implementation : U-net and FCN with global convolution
NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates @ INTERSPEECH 2022
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021
Easily run SqueezeLite with Alsa or PulseAudio output with Docker. Bluetooth support. Upsampling 2x 4x 8x with "Goldilocks" settings by Archimago
Native bindings to libsamplerate
The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)
Various image filters and Guided Joint bilateral filter for guided image upsampling
GUI application for Anime4K shaders which allows to save upscaled video to disk
Easily run mpd with Alsa or PulseAudio output with Docker. Upsampling 2x 4x 8x with "Goldilocks" settings by Archimago. Scrobbling support.
An implementation of Anime4K in Python.
Checkerboard rendering with Magnum and OpenGL
Upsampling method for an input cloud using mls method of PCL
A PyTorch implementation of CARAFE based on ICCV 2019 paper “CARAFE: Content-Aware ReAssembly of FEatures”
Customer churn analysis for a telecommunication company
Code for "Unsharp Mask Guided Filtering, IEEE Transactions on Image Processing, 2021"
An Industrial Think Tank Focused on Developing and Promoting AI Technology for Geospatial Applications [Please note this group was formed as an academic exercise for educational purposes and does not represent a real world organization]
The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
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