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adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

cs-notes icon cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计

deeplabv3 icon deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

gafilters icon gafilters

Geometry Aware Convolutional Filters for Omnidirectional Images Representation

gan icon gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

kepler.gl icon kepler.gl

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

leetcodeanimation icon leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

ml_cia icon ml_cia

公众号: 机器学习荐货情报局 所有代码

pytorch_image_classifier icon pytorch_image_classifier

Minimal But Practical Image Classifier Pipline Using Pytorch, Finetune on ResNet18, Got 99% Accuracy on Own Small Datasets.

rasterfairy icon rasterfairy

The purpose of Raster Fairy is to transform any kind of 2D point cloud into a regular raster whilst trying to preserve the neighborhood relations that were present in the original cloud. A typical use case is if you have a similarity clustering of images and want to show the images in a regular table structure.

singan icon singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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