Tensorflow Signal Processing
doing audio digital signal processing in tensorflow to try to recreate digital audio effects
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Adblockradio | 1,399 | 3 years ago | 12 | mpl-2.0 | JavaScript | |||||
| An adblocker for live radio streams and podcasts. Machine learning meets Shazam. | ||||||||||
| Tensorflow Signal Processing | 83 | a year ago | n,ull | Python | ||||||
| doing audio digital signal processing in tensorflow to try to recreate digital audio effects | ||||||||||
| Spleeterrt | 75 | 3 years ago | 3 | gpl-3.0 | C | |||||
| Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain. | ||||||||||
| A Deep Learning Based Illegal Insider Trading Detection And Prediction Technique In Stock Market | 42 | 5 years ago | Python | |||||||
| Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we present an approach that detects and predicts illegal insider trading proactively from large heterogeneous sources of structured and unstructured data using a deep-learning based approach combined with discrete signal processing on the time series data. In addition, we use a tree-based approach that visualizes events and actions to aid analysts in their understanding of large amounts of unstructured data. Using existing data, we have discovered that our approach has a good success rate in detecting illegal insider trading patterns. My research paper (IEEE Big Data 2018) on this can be found here: https://arxiv.org/pdf/1807.00939.pdf | ||||||||||
| Tf_audio_signal | 21 | 5 years ago | Jupyter Notebook | |||||||
| How to run GPU accelerated Signal Processing in TensorFlow | ||||||||||
| Cmorlet Tensorflow | 16 | 3 years ago | 4 | mit | Jupyter Notebook | |||||
| A TensorFlow implementation of the Continous Wavelet Transform based on the complex Morlet wavelet. | ||||||||||
| Waveflow | 11 | 6 years ago | 3 | apache-2.0 | Python | |||||
| Waveflow: signal processing with tensorflow. | ||||||||||
| Shearlet Transform Tensorflow | 10 | 2 years ago | 2 | mit | Python | |||||
| This is an implementation of Shearlet Transform (ST) for light field reconstruction using TensorFlow 1.x. | ||||||||||
| Rnn Tutorial | 9 | 6 years ago | mit | Python | ||||||
| Signal Processing with Recurrent Neural Networks in TensorFlow | ||||||||||
| Audio Signal Processing Artificial Intelligence Project | 6 | 2 years ago | gpl-3.0 | Jupyter Notebook | ||||||
| Audio Signal Processing Artificial Intelligence Project | ||||||||||
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Tensorflow
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