Ml Comparison Birdsong
Comparison of machine learning algorithms applied to classification of elements of birdsong
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Fake_news_detection | 251 | 2 years ago | 10 | mit | Jupyter Notebook | |||||
| Fake News Detection in Python | ||||||||||
| Magnetloss Pytorch | 213 | 6 years ago | 2 | mit | Python | |||||
| PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016. | ||||||||||
| Pytorch Timeseries | 40 | 3 years ago | Python | |||||||
| PyTorch implementations of neural networks for timeseries classification | ||||||||||
| Ml Classification Algorithms Poverty | 29 | 6 years ago | Jupyter Notebook | |||||||
| A comparative assessment of machine learning classification algorithms applied to poverty prediction | ||||||||||
| Nlp_classification_workshop | 20 | 5 years ago | Jupyter Notebook | |||||||
| NLP Classification Workshop | ||||||||||
| Trackingimglabel | 16 | 6 years ago | mit | Python | ||||||
| TrackingImgLabel is an automatic graphical image annotation tool with a video as input, which uses tracking algorithm to track the object. You can only label the first frame of the video, then the tracking algorithm will automaticlly tracking the objects. | ||||||||||
| Pycoal | 14 | 4 years ago | 5 | June 08, 2017 | 9 | gpl-2.0 | Python | |||
| Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands | ||||||||||
| Pyisc | 13 | 6 years ago | 1 | lgpl-3.0 | Python | |||||
| The Python API to the ISC anomaly detection and classification framework | ||||||||||
| Intro To Image Classification | 8 | 6 years ago | bsd-3-clause | Jupyter Notebook | ||||||
| Introduction to image classification with Python | ||||||||||
| Tensorflow Mnist | 8 | 7 years ago | Jupyter Notebook | |||||||
| A Jupyter notebook for setting up a single layer neural network with TensorFlow on the MNIST dataset | ||||||||||
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