pyprobml
machine-learning-experiments
pyprobml | machine-learning-experiments | |
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3 | 8 | |
6,304 | 1,613 | |
0.7% | - | |
6.2 | 2.6 | |
6 months ago | 5 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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pyprobml
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Best Possible Book Recommended for Machine Learning [Discussion] [D] [Recommendation]
Another great book is Kevin Murphy’s Machine Learning: A probabilistic approach. He just launched the second version of his book and he has a Python repo for the models and graphs: https://github.com/probml/pyprobml
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Probabilistic Machine Learning, Kevin Murphy (2nd edition, 2021)
This exists actually, it's not complete yet (I think?) but it covers a lot of the material in the book:
https://github.com/probml/pyprobml
machine-learning-experiments
What are some alternatives?
numpyro - Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.
prml - Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
osumapper - An automatic beatmap generator using Tensorflow / Deep Learning.
jaxopt - Hardware accelerated, batchable and differentiable optimizers in JAX.
lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
lucid - A collection of infrastructure and tools for research in neural network interpretability.
PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
PRML - PRML algorithms implemented in Python
lightwood - Lightwood is Legos for Machine Learning.
Hands-On-Meta-Learning-With-Python - Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow