https://github.com/nickgeneva/prml_pytorch
Figures in PRML by Bishop recreated using PyTorch
https://github.com/nickgeneva/prml_pytorch
guassian-processes machine-learning neural-network pattern-recognition pytorch
Last synced: 6 months ago
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Figures in PRML by Bishop recreated using PyTorch
- Host: GitHub
- URL: https://github.com/nickgeneva/prml_pytorch
- Owner: NickGeneva
- License: mit
- Created: 2017-07-30T15:08:04.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2018-01-28T14:45:36.000Z (almost 8 years ago)
- Last Synced: 2024-11-21T17:05:32.960Z (about 1 year ago)
- Topics: guassian-processes, machine-learning, neural-network, pattern-recognition, pytorch
- Language: Python
- Homepage:
- Size: 1.74 MB
- Stars: 4
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# PRML_PyTorch
Figures in Pattern Recognition and Machine Learning (PRML) by Chris Bishop recreated using PyTorch. Each script can be executed independently of the others and require no data files. Due to the random generation of the training data, recreated figures will not be exactly the same as seen in the book.
I cannot guarantee the correctness of the scripts.
**Python Version: 2.7**
Python Packages Needed:
* [PyTorch](http://pytorch.org/)
* [MatPlotLib](https://matplotlib.org/)
* [GPTorch](https://github.com/bmmi/gptorch)
* NumPy