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Robustness properties of Facebook's ResNeXt WSL models
Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
Processing v2.x / 3.x Harmonized Color Palette Generator
A Python module for extracting colors from images. Get a palette of any picture!
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
Log TensorBoard events without touching TensorFlow
philferriere / cocoapi
Forked from cocodataset/cocoapiClone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
A python toolkit for parsing captions (in natural language) into scene graphs (as symbolic representations).
Most popular metrics used to evaluate object detection algorithms.
Implementation of Tree structured GRU using tensorflow
Tensorflow implementation of Recursive Neural Networks using LSTM units
Fast mini batch version of treelstm using tensorflow
Implementation of caption-image retrieval from the paper "Order-Embeddings of Images and Language"
Zero Shot Recognition using Dual Visual Semantic Mapping Paths
Implement DeViSE: A Deep Visual-Semantic Embedding Model
The implementation of CVPR-17 paper "Deep Visual-Semantic Quantization of Efficient Image Retrieval"
PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"
This repository contains the tensorflow implementation and models for DAN - CVPR 2017 paper
Pytorch implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"
vehicle detection using retinanet
RetinaNet with Focal Loss implemented by Tensorflow
Image augmentation for machine learning experiments.
Simple image retrival on deep-fashion dataset with pytorch - A course project
YOLOv2のchainerの再現実装です(darknetのchainerローダと、完全なchainer上での訓練コードを含みます)