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
PyTorch implementation of GLOM

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Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs, ICCV 2021

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blind SQLIpy sebuah alat injeksi sql yang menggunakan waktu sql untuk mendapatkan sebuah server database.

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Implementation of paper "Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal"

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EMNLP 2021 Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections

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ESL: Event-based Structured Light

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Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network

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An implementation of Deep Graph Infomax (DGI) in PyTorch

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[AAAI 2021] MVFNet: Multi-View Fusion Network for Efficient Video Recognition

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Caffe: a fast open framework for deep learning.

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Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*

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Graph WaveNet apdapted for brain connectivity analysis.

Graph WaveNet for brain network analysis This is the implementation of the Graph WaveNet model used in our manuscript: S. Wein , A. Schüller, A. M. To

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A real world application of a Recurrent Neural Network on a binary classification of time series data

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Coarse implement of the paper "A Simultaneous Denoising and Dereverberation Framework with Target Decoupling", On DNS-2020 dataset, the DNSMOS of first stage is 3.42 and second stage is 3.47.

SDDNet Coarse implement of the paper "A Simultaneous Denoising and Dereverberation Framework with Target Decoupling", On DNS-2020 dataset, the DNSMOS

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Radar-to-Lidar: Heterogeneous Place Recognition via Joint Learning

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A set of simple scripts to process the Imagenet-1K dataset as TFRecords and make index files for NVIDIA DALI.

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8 Nov 01, 2022
code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

Video_Pace This repository contains the code for the following paper: Jiangliu Wang, Jianbo Jiao and Yunhui Liu, "Self-Supervised Video Representation

Jiangliu Wang 95 Dec 14, 2022
GNPy: Optical Route Planning and DWDM Network Optimization

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PyTorch implementation of deep GRAph Contrastive rEpresentation learning (GRACE).

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