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fashion_ai

2018.3-2018.6

fashionai-recognition

天池大数据竞赛：FashionAI全球挑战赛——服饰属性标签识别竞赛源代码

fashionai-tf

A tensorflow implementation of FashionAI Global Challenge

fashionai.kps

My solution to FashionAI Key Points Detection of Apparel.

fashionai2018

FashionAI Clothes Attribute Recognition

fashionai2018-1

One thought of the fashionai2018 competition

fashionai2018-tianchi

FashionAI Global Challenge—Attributes Recognition of Apparel—Ranked 10st solution.

fashionai_key_points_detection

Mask R-CNN for FashionAi key point location

fashionai_keypoint

fashionai_keypoint_detection_challenge

Code for FashionAI KeyPoint Detection Challenge

fashionai_keypoint_detection_challenge_keras

Code for TianChi 2018 FashionAI Cloth KeyPoint Detection Challenge

fashionai_keypoint_detection_using_cpm

A tensorflow realization of CPM using some tricks on FashionAI keypoint detection competition of Tianchi.

fashionai_keypoints_detection

This my project of Fashion AI Key points detection contest.

fashionai_tagged

fashionAI@tianchi

fashionai_tianchi_2018

FashionAI Global Challenge—Attributes Recognition of Apparel—Ranked 21st solution.

fashionaigame

fashionnet

Fashion recommender system using deep learning

fast-convolution

non-uniform partitioned convolution

fast-netvlad-pytorch

Pytorch implementation of NetVLAD & Online Hardest Triplet Loss.

fast-neural-doodle

Faster neural doodle

fast-neural-style

pytorch implementation of fast-neural-style

fast-neural-style-1

Feedforward style transfer

fast-neural-style-2

Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in Keras

fast-pixel-cnn

Speed up PixelCNN++ image generation by up to a 183 times

fast-rcnn

Fast R-CNN

fast-reading-comprehension

A Tensorflow implementation of Fast and Accurate Reading Comprehension without Recurrent Neural Networks

fast-slow-lstm

fast-style-transfer

TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼

fast-style-transfer-coreml

fast-wavenet

Speedy Wavenet generation using dynamic programming :zap: