gcarq / Keras Timeseries Prediction
Licence: mit
Time series prediction with Sequential Model and LSTM units
Stars: ✭ 100
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to Keras Timeseries Prediction
Base-On-Relation-Method-Extract-News-DA-RNN-Model-For-Stock-Prediction--Pytorch
基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測
Stars: ✭ 33 (-67%)
Mutual labels: prediction, lstm
Stock Price Predictor
This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
Stars: ✭ 146 (+46%)
Mutual labels: lstm, prediction
Deep Learning Time Series
List of papers, code and experiments using deep learning for time series forecasting
Stars: ✭ 796 (+696%)
Mutual labels: lstm, prediction
Tensorflow Lstm Sin
TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction
Stars: ✭ 52 (-48%)
Mutual labels: lstm, prediction
Ai Reading Materials
Some of the ML and DL related reading materials, research papers that I've read
Stars: ✭ 79 (-21%)
Mutual labels: lstm, prediction
Lstm chem
Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
Stars: ✭ 87 (-13%)
Mutual labels: lstm
Bitcoin Value Predictor
[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin
Stars: ✭ 91 (-9%)
Mutual labels: prediction
Contextual Utterance Level Multimodal Sentiment Analysis
Context-Dependent Sentiment Analysis in User-Generated Videos
Stars: ✭ 86 (-14%)
Mutual labels: lstm
Stgcn
implementation of STGCN for traffic prediction in IJCAI2018
Stars: ✭ 87 (-13%)
Mutual labels: prediction
Multitask sentiment analysis
Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587
Stars: ✭ 93 (-7%)
Mutual labels: lstm
Ml
A high-level machine learning and deep learning library for the PHP language.
Stars: ✭ 1,270 (+1170%)
Mutual labels: prediction
Sarcasmdetection
Sarcasm detection on tweets using neural network
Stars: ✭ 99 (-1%)
Mutual labels: lstm
Self Attention Classification
document classification using LSTM + self attention
Stars: ✭ 84 (-16%)
Mutual labels: lstm
Language Translation
Neural machine translator for English2German translation.
Stars: ✭ 82 (-18%)
Mutual labels: lstm
Time series predictions with Keras
Requirements
- Theano
- Keras
- matplotlib
- pandas
- scikit-learn
- tqdm
- numpy
Usage
git clone https://github.com/gcarq/keras-timeseries-prediction.git
cd keras-timeseries-prediction/
pip install -r requirements.txt
python main.py
Dataset
The dataset is international-airline-passengers.csv which contains 144 data points ranging from Jan 1949 to Dec 1960.
Each data point represents monthly passengers in thousands.
Model
model = Sequential()
model.add(LSTM(64,
activation='relu',
batch_input_shape=(batch_size, look_back, 1),
stateful=True,
return_sequences=False))
model.add(Dense(1, activation='linear'))
model.compile(loss='mean_squared_error', optimizer='adam')
Results
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].