A collection of easy-to-use, ready-to-use, interesting deep neural network models

Related tags

Deep Learningezpznet
Overview

Interesting and reproducible research works should be conserved. This repository wraps a collection of deep neural network models into a simple and uniform API.

Available models

SketchGAN

AnimeGAN

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.

Owner
Aria Ghora Prabono
Researcher | Coder
Aria Ghora Prabono
Learning nonlinear operators via DeepONet

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PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

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《LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classification》(AAAI 2021) GitHub:

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Setup freqtrade/freqUI on Heroku

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TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning

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The implementation for paper Joint t-SNE for Comparable Projections of Multiple High-Dimensional Datasets.

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The Deep Learning with Julia book, using Flux.jl.

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Generative vs Discriminative: Rethinking The Meta-Continual Learning (NeurIPS 2021)

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Official implementation for CVPR 2021 paper: Adaptive Class Suppression Loss for Long-Tail Object Detection

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POCO: Point Convolution for Surface Reconstruction

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Adversarial Attacks on Probabilistic Autoregressive Forecasting Models.

Attack-Probabilistic-Models This is the source code for Adversarial Attacks on Probabilistic Autoregressive Forecasting Models. This repository contai

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WormMovementSimulation - 3D Simulation of Worm Body Movement with Neurons attached to its body

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LoFTR:Detector-Free Local Feature Matching with Transformers CVPR 2021

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