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2018dsb

2018 Data Science Bowl 2nd Place Solution

adversarial-network-for-conditioned-feature-generation

Zero-Shot Learning using GAN

attributes2classname

TensorFlow implementation of the Attributes2Classname: A discriminative model for attribute-based unsupervised zero-shot learning.

avatar-net

Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration

dazer

The Tensorflow implement of accepted ACL 2018 paper "A deep relevance model for zero-shot document filtering"

deep-learning-models

Keras code and weights files for popular deep learning models.

dsb2018_topcoders

DSB2018 [ods.ai] topcoders

dsb_2018

fastmaskrcnn

Mask RCNN in TensorFlow

generating-representations-zsl

Code of the article: Generating Visual Representations for Zero-Shot Classification ICCV17 WS

image-segmentation-keras

Implementation of Segnet, FCN, UNet and other models in Keras.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

mask-rcnn-pytorch

Mask R-CNN implementation in PyTorch.

mask_rcnn

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

moving-least-squares

Implementation of three algorithms of image deformation using moving least squares. http://dl.acm.org/citation.cfm?doid=1179352.1141920

msc_multi_label_zeroshot

Code for master thesis on Zero-Shot Learning in multi-label scenarios

one-shot_with_inception_v3

zero-shot and one-shot

pcl

Point Cloud Library (PCL)

sae-in-python

a python implement of the paper Semantic Autoencoder for Zero-Shot Learning

sp-aen.cvpr18

Zero-Shot Visual Recognition using Semantic-Preserving Adversarial Embedding Networks

ssd_keras

A Keras port of Single Shot MultiBox Detector

ssd_keras-1

Port of Single Shot MultiBox Detector to Keras

tensorflow-resnet

ResNet model in TensorFlow

tf_unet

Generic U-Net Tensorflow implementation for image segmentation

unet

unet for image segmentation

unreliableattributes

"Zero-shot recognition with unreliable attributes" paper implementation

verb-attributes

Contains code for the EMNLP paper `Learning Linguistic Attributes for Zero-Shot Verb Classification'

zero-shot-learning

A pyhton ZSL system which makes it easy to run Zero-Shot Learning on new datasets, by giving it features and attributes. Based on “An embarrassingly simple approach to zero-shot learning”, presented at ICML 2015.

zero-shot-learning-1

Implementation of Zero-Shot Learning algorithm using Word2Vecs

zeroshot-imitation

[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration