Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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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 | ||||||||||
Spiking Neural Network Snn With Pytorch Where Backpropagation Engenders Stdp | 192 | 2 years ago | 7 | Jupyter Notebook | ||||||
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough. | ||||||||||
Time Domain Neural Audio Style Transfer | 129 | 2 years ago | apache-2.0 | Python | ||||||
NIPS2017 "Time Domain Neural Audio Style Transfer" code repository | ||||||||||
Analyzing_neural_time_series | 124 | 3 years ago | mit | Jupyter Notebook | ||||||
python implementations of Analyzing Neural Time Series Textbook | ||||||||||
Pycon Ua 2018 | 57 | 6 years ago | mit | Jupyter Notebook | ||||||
Talk at PyCon UA 2018 (Kharkov, Ukraine) | ||||||||||
Time Series Forecasting Rnn Tensorflow | 56 | 5 years ago | 7 | apache-2.0 | Python | |||||
Time series forecasting | ||||||||||
Dnal | 15 | a year ago | Python | |||||||
Differentiable Neural Architecture Learning for Efficient Neural Network Design, Pattern Recognition, 2022 | ||||||||||
Ntsa | 13 | 4 years ago | 3 | mit | Jupyter Notebook | |||||
Neural Time Series Analysis | ||||||||||
Real Time Style Transfer In Qt | 9 | 4 years ago | gpl-3.0 | Python | ||||||
running real time style net and CycleGAN in pyqt! | ||||||||||
Ml With Timeseries | 8 | 5 years ago | Jupyter Notebook | |||||||
Machine Learning with Time Series data |