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ganseeing

Seeing what a GAN cannot generate. Visualizes and quantifies object classes within scenes that are outside the range of a GAN.

Language:Python18400

deep-generative-prior

Code for deep generative prior (ECCV2020 oral)

Language:PythonMIT47900

nndl.github.io

《神经网络与深度学习》邱锡鹏著 Neural Network and Deep Learning

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pix2latent

Code for: Transforming and Projecting Images into Class-conditional Generative Networks

Language:PythonApache-2.019400

Awesome-CVPR2024-CVPR2021-CVPR2020-Low-Level-Vision

A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision

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Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

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semantic-object-accuracy-for-generative-text-to-image-synthesis

Code for "Semantic Object Accuracy for Generative Text-to-Image Synthesis" (TPAMI 2020)

Language:PythonMIT10500

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Language:PythonMIT1313100

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

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awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

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data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

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mganprior

[CVPR 2020] Image Processing Using Multi-Code GAN Prior

Language:Python28800

Learn-Statistical-Learning-Method

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

Language:Jupyter NotebookMIT81500

ylg

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

Language:PythonGPL-3.013600

PasteGAN

An pytorch implementation of our NeurIPS paper of PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph

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CPGAN

The method of text-to-image

Language:PythonMIT4800

Awesome-AutoDL

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

Language:PythonMIT223200

GNNPapers

Must-read papers on graph neural networks (GNN)

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BorderDet

BorderDet: Border Feature for Dense Object Detection(ECCV2020 Oral)

Language:PythonApache-2.043100

the-gan-zoo

A list of all named GANs!

Language:PythonMIT1417400

ControlGAN

Pytorch implementation for Controllable Text-to-Image Generation.

Language:Python16400

stargan

StarGAN - Official PyTorch Implementation (CVPR 2018)

Language:PythonMIT520900

ShapeMatchingGAN

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN

Language:Jupyter NotebookMIT42500

Style_Migration_For_Artistic_Font_With_CNN

基于卷积神经网络的风格迁移，制造出带有艺术风格的字体（艺术字），部分效果可达PS水平，可以辅助设计人员做设计；Convolutional neural network based style migration to create a font with artistic style (WordArt), some effects up to PhotoShop level, it can assist designers to do design

Language:PythonMIT22500

statistical-learning-method

《统计学习方法》笔记-基于Python算法实现

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fitlog

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

Language:PythonApache-2.0145700

Dank-Learning

Dank Learning codebase, generate a meme from any image using AI. Uses a modified version of the Show and Tell image captioning network

Language:Jupyter NotebookMIT48000

FSL-Mate

FSL-Mate: A collection of resources for few-shot learning (FSL).

Language:Python167700

Sixdes