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2019-autumn-recruitment-experience

2019届秋招面经集合

adversarialnetspapers

The classical paper list with code about generative adversarial nets

aiinterview

算法工程师面试题整理

algorithm_interview_notes-chinese

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

ccnet

CCNet achieves the state-of-the-art performance on Cityscapes and ADE20K.

cdp

Code for our ECCV 2018 work.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cv_notes

深度学习/计算机视觉工程向笔记

cvpr2019

cvpr2019 papers，极市团队整理

danet

Dual Attention Network for Scene Segmentation

deep-learning-papers-reading-roadmap

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

deeplab-pytorch

PyTorch implementation of DeepLab v2 (ResNet) + COCO-Stuff 10k/164k

deeplab_v3

pytorch deeplab_v3+

deeplabv3

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

deeplabv3plus-pytorch

Here is a pytorch implementation of deeplabv3+. The project supports COCO object detection dataset pretrain and PASCAL VOC 2012 train/val.

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15个章节，近20万字。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[email protected] 版权所有，违权必究 Tan 2018.06

drn

Dilated Residual Networks

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fcn.pytorch

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gluon-cv

Gluon CV Toolkit

hyperboard

A web-based dashboard for Deep Learning

image-matting-experiment

improved-gan

Code for the paper "Improved Techniques for Training GANs"

interview-notebook

:calendar: 准备秋招学习笔记

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

kk_vim

machine-learning

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow