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a general image classifer framework written by Keras
本项目以iris.csv和DNN模型为例,演示如何在Keras中使用K-fold交叉验证。
An MDN Layer for Keras using TensorFlow's distributions module
A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.
Keras implementation of RetinaNet object detection.
Deep Reinforcement Learning for Keras.
SegNet model implemented using keras framework
SqueezeNet implementation with Keras Framework
中文长文本分类、短句子分类、多标签分类(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, ENT, DMN,
这和是一个有关 Keras Web 填坑记文章
A Keras implementation of YOLOv3 (Tensorflow backend)
Training and Detecting Objects with YOLO3
A Keras implementation of YOLOv4 (Tensorflow backend)
以kears-yolov3做detector,以Kalman-Filter算法做tracker,进行多人物目标追踪
I transfer the backend of yolov3 into Mobilenetv1,VGG16,ResNet101 and ResNeXt101
end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies
supports training, at least 39.5% mAP.支持训练,至少39.5%mAP。少数的给出精度的复现。
本项目采用keras-bert加载BERT模型,进行完形填空。
本项目采用Keras和Keras-bert实现文本多标签分类任务,对BERT进行微调。
本项目采用Keras和Keras-bert实现序列标注,对BERT进行微调。
本项目采用Keras和Keras-bert实现中文序列标注,对BERT进行微调,并在多个命名实体识别数据集上进行测试。
本项目采用Keras和Keras-bert实现文本多分类任务,对BERT进行微调。
Keras models as ASCII diagrams
Ensembling ConvNets using Keras
saving memory by recomputing for keras
Keras Object Detection API with YOLK project 🍳
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
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.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.