Jerryzhangzhao / DL_tensorflowLinks
Tensorflow Basic Sample Code
☆19Updated 3 years ago
Alternatives and similar repositories for DL_tensorflow
Users that are interested in DL_tensorflow are comparing it to the libraries listed below
Sorting:
- 基于tf.keras的多标签多分类模型☆88Updated 4 years ago
- Train CNN model by tf.estimator☆29Updated 6 years ago
- 基于BERT的预训练语言模型实现,分为两步:预训练和微调。目前已包括BERT、Roberta、ALbert三个模型,且皆可支持Whole Word Mask模式。☆17Updated 5 years ago
- multi-task classifier☆23Updated 2 years ago
- lightweighted deep learning inference service framework☆39Updated 4 years ago
- RAdam optimizer for keras☆71Updated 6 years ago
- 图片简易标注工具,标注类似ICDAR数据集,支持多边形标注,文本标注,方便OCR数据集标注。☆55Updated 6 years ago
- 基于numpy实现的简单神经网络框架☆15Updated 7 years ago
- 国内外数据竞赛资讯整理☆18Updated 4 years ago
- 使用tensorflow.keras实现《动手学深度学习》☆10Updated 5 years ago
- Bert TensorRT模型加速部署☆10Updated 3 years ago
- bert-of-theseus via bert4keras☆31Updated 5 years ago
- wrapping a keras optimizer to implement gradient accumulation☆119Updated 5 years ago
- TensorFlow: learn and practice☆11Updated 7 years ago
- 使用numpy构建cnn复习深度学习知识☆35Updated 7 years ago
- AI研习社☆27Updated 4 years ago
- Radam+lookahead implemented by tensorflow☆11Updated 6 years ago
- Tensorflow version implementation of focal loss for binary and multi classification☆109Updated 6 years ago
- LAVIS - A One-stop Library for Language-Vision Intelligence☆10Updated 2 years ago
- This is our solution for WSDM - DiggSci 2020. We implemented a simple yet robust search pipeline which ranked 2nd in the validation set a…☆63Updated 5 years ago
- A tutorial of building tensorflow serving service from scratch☆89Updated 2 years ago
- Python下shuffle几百G文件☆33Updated 4 years ago
- mutil-class focal loss implemented in keras☆158Updated 6 years ago
- This repo is created using the code of Adrian Rosebrock's tutorial on Multi-label classification.☆34Updated 6 years ago
- Try to use tf.estimator and tf.data together to train a cnn model.☆77Updated 7 years ago
- a sample code for utilizing torch.distributed☆21Updated 5 years ago
- AI Challenger 2018 阅读理解赛道代码分享☆21Updated 7 years ago
- memory efficient densenet+lstm+ctc实现中文识别☆31Updated 3 years ago
- 记录每一个常用的深度模型结构的特点(图和代码)☆30Updated 6 years ago
- Linear chain conditional random fields are implemented using Numpy and Mxnet/Gluon, and batch training is supported, not limited to train…☆23Updated 6 years ago