搜索资源列表
3_14
- tensorflow 学习的一些例子 有cnn的 有rnn的 lstm word2vec udacity学院 的 等(Some examples of tensorflow learning are CNN's LSTM word2vec with RNN Udacity College)
Test_LSTM
- 利用C++语言实现了长短时记忆网络，复杂性较高。(Using C++ language to achieve long and short time memory network, the complexity is relatively high.)
DeepLearnToolbox-master
- 深度学习MATLAB的工具箱，包括CNN、RNN、CAE、LSTM等复杂的神经网络的代码。(Deep learning MATLAB toolbox, including CNN, RNN, CAE, LSTM and other complex neural network code.)
lstm-text-classfication
- 通过机器学习中的长短时记忆单元实现对文本进行分类的算法。(The long short term memory unit realizes the algorithm of classifying text by machine learning.)
TradingOfArtificialIntelligence-master
- 学习利用Python实现量化交易。 LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data.(LSTM built using Keras Python package to predict time series steps and sequenc
zh-NER-TF-master
- 基于bi-lstm-crf的中文命名实体识别(bi-lstm-crf NER of chinese)
poetry_generator_Keras-master
- 使用LSTM算法写的唐诗生成，编程语言使用的Python。(Using LSTM algorithm to generate Tang poetry, the Python used in programming languages.)
LSTM_main
- LSTM（Long Short-Term Memory）是长短期记忆网络，是一种时间递归神经网络，适合于处理和预测时间序列中间隔和延迟相对较长的重要事件。(LSTM (Long Short-Term Memory) is a long and short term memory network. It is a kind of time recurrent neural network, which is suitable for de
convLSTM_minimum-master
- 卷积长短期机器模型用于预测空间上与时间上的值，是基于LSTM模型的改进算法(Convolutional long-term and short-term machine model is an improved algorithm based on LSTM model for predicting spatial and temporal values.)
rnnoise
- 改代码为音频降噪功能，是基于RNN的音频降噪算法。其中采用的是 GRU/LSTM 模型，支持wav格式。(The modified code is an audio denoising function, which is based on RNN's audio denoising algorithm. The GRU/LSTM model is adopted to support the wav format.)
simpleLSTM
- 该程序是一段简单 的LSTM程序，是基于matlab的，容易理解和学习(This program is a simple LSTM program based on matlab, and very easy to understand and learn.)
Matching
- 数字摄影测量中的最小二乘匹配算法，带示例图像(Feature points matching using LSTM)
LSTM
- matlab代码，新进的emd分解工具，比小波效果好(Matlab code, the new EMD decomposition tool, is better than wavelet)
time-series-forecasting-keras-master
- 基于ARIMA模型和LSTM模型，提出一种高性能得时间序列预测算法(Based on ARIMA model and LSTM model, a high performance time series prediction algorithm is proposed.)
rnn
- 作为刚开始研究RNN 的小白，可以看RNN和LSTM的ｍａｔｌａｂ程序，本人刚开始学习 ，把找到的资源分享给大家。(As a novice who just started researching RNN, you can see the matlab program of RNN and LSTM. I just started to learn and share the resources I found.)
基于LSTM的航班乘客预测
- 负荷预测 可以修改数据集进行预测谢谢谢谢谢谢(prediction in power election)
TCN-with-attention-master
- 基于注意力的的方法，预测使用的tcn，tcn是比lstm更好的一种预测方法，附数据(Based on the attention method, TCN is better than LSTM in prediction, with data attached)
股票市场预测
- LSTM 作为预测模型，使用贝叶斯优化算法来实现股票预测的功能(LSTM as a prediction model, uses Bayesian optimization algorithm to achieve the function of stock forecasting)
Convolutional_LTSM_CSI_estimate
- Channel State Estimation using convolutional neural networks LSTM
st_lstm_pytorch
- 设计一种新颖的深度学习网络，用于时空序列的建模预测，ST-LSTM在一个统一的记忆单元中同时捕获记忆空间和时间特征。本源码是基于python的Pytorch框架编写的。