COLLECTED BY
Organization:
Internet Archive
The Internet Archive discovers and captures web pages through many different web crawls.
At any given time several distinct crawls are running, some for months, and some every day or longer.
View the web archive through the
Wayback Machine .
The Wayback Machine - https://web.archive.org/web/20210901042625/https://github.com/topics/upsampling
Here are
44 public repositories
matching this topic...
A High-Quality Real Time Upscaler for Anime Video
Updated
Aug 28, 2021
Jupyter Notebook
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Updated
Apr 22, 2021
Python
XAI - An eXplainability toolbox for machine learning
Updated
Jul 20, 2021
Python
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021 Accepted
Updated
Jul 27, 2021
Python
Tensorflow implementation : U-net and FCN with global convolution
Updated
May 16, 2019
Python
An AviSynth+ implementation of some Super-Resolution Convolutional Neural Networks.
Updated
Mar 28, 2021
GLSL
The Pytorch implementation of "Location-aware Upsampling for Semantic Segmentation" (LaU)
Updated
Mar 4, 2020
Jupyter Notebook
The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"
Updated
Feb 19, 2021
Python
hq2x scaling algorithm updated to support RGBA
Checkerboard rendering with Magnum and OpenGL
A PyTorch implementation of CARAFE based on ICCV 2019 paper “CARAFE: Content-Aware ReAssembly of FEatures”
Updated
May 21, 2020
Cuda
Implementation of Anime4K in Go.
An implementation of Anime4K in Python.
Updated
Apr 3, 2020
Python
Anime4K implemented in C#
DeepLearningで音楽をアップサンプリングします
Updated
Mar 24, 2018
Python
Code for "Unsharp Mask Guided Filtering, IEEE Transactions on Image Processing, 2021"
Updated
Aug 16, 2021
Python
Upsampling method for an input cloud using mls method of PCL 1.9.1
Native bindings to libsamplerate
Updated
Aug 31, 2021
JavaScript
A series of personal research in the auditory field.
Experimental port of Anime4K to metal
Updated
Oct 13, 2019
Metal
Drone using Fully Convolutional Network
Updated
Jan 23, 2018
Jupyter Notebook
Customer churn analysis for a telecommunication company
Updated
Oct 28, 2018
Jupyter Notebook
Applied Statistics and Data Science: Computer vision course
Updated
Aug 25, 2021
Jupyter Notebook
Various image filters and Guided Joint bilateral filter for guided image upsampling
Data Mining and Machine Learning APS Failure at Scania Trucks Data Set.
Updated
Mar 22, 2021
Jupyter Notebook
An implementation of a nodejs service that handles time-series data with downsampling and upsampling operations.
Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity
Updated
Jun 3, 2021
Python
This is an implementation of the CVPR 2017 paper - Deep Koalarization : Image Colorization using deep CNNs and Inception Resnet V2
Updated
Aug 7, 2018
Python
MNIST Image reconstruction using Autoencoders
Updated
Sep 17, 2020
Jupyter Notebook
Improve this page
Add a description, image, and links to the
upsampling
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
upsampling
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.
We're experimenting with displaying our tiles interactively using the python library folium. This library can display numpy arrays directly to the map. For our tiles to show up correctly on the map, we will need to record the latitude and longitude extents of the tile.
Create a function that calculates the lat/lon extents of a given tile