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AI-Challenger Baseline 细粒度用户评论情感分析
AI Challenger 2018 细粒度用户评论情感分析比赛 个人baseline项目
AI Challenger 2018 细粒度用户评论情感分析,排名17th,基于Aspect Level 思路的解决方案
python django
https://cn.udacity.com/course/deep-learning-nanodegree-foundation--nd101/
Forked from weinman/cnn_lstm_ctc_ocr for the ICPR MTWI 2018 challenge 1
My implementations of cs231n 2017
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
static
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
利用Django实现一个类似饿了么、美团外卖的水果、零食商城
多标签分类,端到端的中文车牌识别基于mxnet, End-to-End Chinese plate recognition base on mxnet
icpr2018_ocr_papers about ocr
ijcai-2018 top1 solution
Image Classification Dataset
Deep Learning for humans
A Keras implementation of YOLOv3 (Tensorflow backend)
用户预订售卖房型概率预测--top1
整理的神经网络代码
My blogs and code for machine learning. http://cnblogs.com/pinard
Open Source Computer Vision Library
Ai Challenger 2018 Competitions 农作物病害检测
kaggle:Two Sigma Connect: Rental Listing Inquiries--top1
知识表示相关学习算法
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Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.