Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Deep Learning Time Series | 1,811 | 2 years ago | 8 | apache-2.0 | Jupyter Notebook | |||||
List of papers, code and experiments using deep learning for time series forecasting | ||||||||||
Predictive Maintenance Using Lstm | 507 | a year ago | mit | Python | ||||||
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras. | ||||||||||
Stock Prediction Deep Neural Learning | 385 | 5 months ago | cc0-1.0 | Jupyter Notebook | ||||||
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting | ||||||||||
Lstm_anomaly_thesis | 191 | 3 years ago | 1 | mit | Jupyter Notebook | |||||
Anomaly detection for temporal data using LSTMs | ||||||||||
Repo 2016 | 105 | 5 years ago | Python | |||||||
R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation | ||||||||||
Predictive Maintenance Of Aircraft Engine | 54 | 2 years ago | 1 | Jupyter Notebook | ||||||
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine. | ||||||||||
Stock Predictor V4 | 21 | 6 months ago | mit | Python | ||||||
A reinforcement learning model specialized in stock prediction utilizing deep learning techniques, incorporating reward mechanisms, compatible with any machine equipped with Python. | ||||||||||
Nonlincausality | 20 | 2 years ago | 14 | September 30, 2023 | 1 | mit | Python | |||
Python package for Granger causality test with nonlinear forecasting methods. | ||||||||||
Timeseriesprediction | 17 | 7 years ago | Jupyter Notebook | |||||||
Time Series Prediction, Stateful LSTM; 时间序列预测,洗发水销量/股票走势预测,有状态循环神经网络 | ||||||||||
Challenges | 14 | 9 months ago | mit | Jupyter Notebook | ||||||
Mono-repo containing several challenges in a variety of Data Science and Machine Learning topics. |