mzchtx's starred repositories

the-gan-zoo

A list of all named GANs!

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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deep-learning-roadmap

:satellite: All You Need to Know About Deep Learning - A kick-starter

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AutoAugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

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stargan

StarGAN - Official PyTorch Implementation (CVPR 2018)

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Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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gluon-mobilenet-yolov3

Gluon-Mobilenet-yolov3

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selective_search_py

Python-based implementation of the Selective Search for Object Recognition.

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netron

Visualizer for neural network, deep learning and machine learning models

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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gluon-cv

Gluon CV Toolkit

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deep-learning-papers-translation

深度学习论文翻译,包括分类论文,检测论文等

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cub

[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl

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Paddle-Lite

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎)

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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cutlass

CUDA Templates for Linear Algebra Subroutines

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darts

Differentiable architecture search for convolutional and recurrent networks

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taskonomy

Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]

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awesome

😎 Awesome lists about all kinds of interesting topics

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awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

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awesome-computer-vision

A curated list of awesome computer vision resources

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mxnet-im2rec_tutorial

this simple tutorial will introduce how to use im2rec for mx.image.ImageIter , ImageDetIter and how to use im2rec for COCO DataSet

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Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

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