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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

alphatree-graphic-deep-neural-network

机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

attngan

cvpr2019

cvpr2019 papers

dong_iccv_2017

A PyTorch implementation of the paper "Semantic Image Synthesis via Adversarial Learning" in ICCV 2017

elegant

ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

hdgan

Pytorch implementation of HDGan

instagan

PyTorch implementation of "InstaGAN: Instance-aware Image Translation" (ICLR 2019)

mc_gan

MC-GAN: Multi-conditional Generative Adversarial Network for Image (BMVC 2018)

msgan

MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)

obj-gan

Obj-GAN - Official PyTorch Implementation

python-cheatsheet

Comprehensive Python Cheatsheet

quantumultx

QuantumultX

rspapers

Must-read papers on Recommender System.

self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

stackgan-v2

tagan

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

ws_dan_pytorch

PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)