dkohlsdorf/KerasLSTM

Using Keras LSTM in Java

Language: Java - Size: 1.76 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 2

pulakk/Odio

Awesome Music Creation Platform

Language: JavaScript - Size: 2.44 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

stxupengyu/Multi-LSTM-for-Regression

使用LSTM处理回归问题，每个输入特征的时间窗维度不一样，因此，也可以看作利用了多个LSTM特征提取器。When LSTM is used to deal with regression problems, the time window dimension of each input feature is different. Therefore, it can also be regarded as using multiple LSTM feature extractors.

Language: Jupyter Notebook - Size: 911 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

Amgad-Abdelkhaleq/Sentiment-Analysis-of-Arabic-and-Egyptian_Arabic

Keras LSTM model to categorize Arabic and Egyptian Arabic comments from different social networking sites into positive or negative, it also support incremental feedback-based learning.

Language: Jupyter Notebook - Size: 6.08 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

gesture-classification/gesture_classification

Hand gesture classification by optomyographical sensor signals

Language: Jupyter Notebook - Size: 254 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2

darekarsam/Web-Traffic-Forecasting

Language: Jupyter Notebook - Size: 3.66 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 2

zzp1012/LSTM-seq2seq-word-matrix

Using Keras LSTM components, try word embedding.

Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

kaisjessa/Photo-Poet

Writes a poem based on a submitted image

Language: Python - Size: 424 MB - Last synced at: 8 months ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

xavierkamp/tsForecastR

R package consisting of functions and tools to facilitate the use of traditional time series and machine learning models to generate forecasts on univariate or multvariate data. Different backtesting scenarios are available to identify the best performing models.

Language: R - Size: 63.3 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0