Interesting and reproducible research works should be conserved. This repository wraps a collection of deep neural network models into a simple and uniform API.
from ezpznet.animegan import AnimeGAN, load_image
net = AnimeGAN(style="webtoon")
image = load_image(image_path)
pred = net.predict(image)
plt.imshow(pred)
When style="webtoon":
When style="hayao":
There are 4 styles available: webtoon (default), shinkai, hayao, and paprika.
Streamlit Demo: The Udacity Self-driving Car Image Browser This project demonstrates the Udacity self-driving-car dataset and YOLO object detection in
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justmagic Use a function as a method with this mystic script, like in Nim. Just
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TL;DR Ignite is a high-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. Click on the image to
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SCI-AIDE : High-fidelity Few-shot Histopathology Image Synthesis for Rare Cancer Diagnosis Pretrained Models In this work, we created synthetic tissue
Number recognition Recognize numbers from a 28 x 28 image using neural networks Usage This is an example of a simple usage of number-recognition NOTE:
Deep Halftoning with Reversible Binary Pattern ICCV Paper | Project Website | BibTex Overview Existing halftoning algorithms usually drop colors and f
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