fuqiuai / TensorFlow-Deep-LearningLinks
用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型
☆59Updated 6 years ago
Alternatives and similar repositories for TensorFlow-Deep-Learning
Users that are interested in TensorFlow-Deep-Learning are comparing it to the libraries listed below
Sorting:
- attention-based LSTM/Dense implemented by Keras☆300Updated 7 years ago
- CNN-BiGRU-Attention模型☆100Updated 3 years ago
- LSTM, CNN, CNNLSTM, BiLSTM, MLP☆10Updated 7 years ago
- the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rath…☆78Updated last year
- keras注意力机制☆19Updated 7 years ago
- ☆16Updated 2 years ago
- 基于Keras的LSTM多变量时间序列预测☆26Updated 7 years ago
- 基于LSTM+CNN的自然语言处理,基于单维LSTM、多维LSTM时序预测算法和多元线性回归算法的预测模型☆11Updated 5 months ago
- A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)☆328Updated 2 years ago
- Pytorch 实现RNN、LSTM、GRU模型☆79Updated 7 years ago
- ☆276Updated 3 years ago
- 基于深度学习的溶解氧时间序列预测模型☆29Updated 5 years ago
- 文本分类, 双向lstm + attention 算法☆90Updated 5 years ago
- LSTM和SVM实现设备故障诊断☆50Updated 6 years ago
- detect malicious URL and Request (Bi-LSTM、Bi-LSTM + CNN、CNN + Bi-LSTM、CNN + Bi-LSTM + CNN)☆60Updated 6 years ago
- 论文基于注意力机制的卷积神经网络模型 源代码☆16Updated 8 years ago
- ☆31Updated 6 years ago
- Using K-NN, SVM, Bayes, LSTM, and multi-variable LSTM models on time series forecasting☆52Updated 6 years ago
- 这个仓库主要包含了LSTM、卷积神经网络中,注意力机制的实现。☆136Updated 4 years ago
- 使用改良的Transformer模型应用于多维时间序列的分类任务上☆92Updated 4 years ago
- CNN with attention and CNN_LSTM_attention(pytorch)☆18Updated 5 years ago
- 建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例,使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据,将数据按时间段划分,使用SARIMA过滤其线性趋势,再对过滤后的残差使用LSTM进行预测,最后对预测结果进行…☆83Updated 6 years ago
- 基于Keras的LSTM多变量时间序列预测☆182Updated 7 years ago
- my blog https://blog.csdn.net/qq_35649669/article/details/105586099☆47Updated 5 years ago
- 支持向量机(SVM)——分类预测,包括多分类问题,核函数调参,不平衡数据问题,特征降维,网格搜索,管道机制,学习曲线,混淆矩阵,AUC曲线等☆53Updated 8 years ago
- Attention-based bidirectional LSTM for Classification Task (ICASSP)☆116Updated 2 years ago
- EEMD、LSTM、time series prediction、DO、Deep Learning☆89Updated 4 years ago
- 1D CNN for CWRU rolling bearings dataset☆43Updated 7 years ago
- Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis☆42Updated 7 years ago
- 使用支持向量机,感知机,随机森林,决策树,k近邻,logistic,LSTM,bagging,boosting,集成等多种常见算法实现多分类任务(三分类)。Support vector machine, perceptron, random forest, decision…☆18Updated 5 years ago