pyprobml
MyST-NB
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| pyprobml | MyST-NB | |
|---|---|---|
| 3 | 1 | |
| 6,257 | 197 | |
| 1.7% | 4.6% | |
| 6.2 | 7.5 | |
| 4 months ago | 7 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
MyST-NB
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How can I use myst-markdown in Jupyter-notebook
My GitHub issue: https://github.com/executablebooks/MyST-NB/issues/376
What are some alternatives?
numpyro - Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
dl-colab-notebooks - Try out deep learning models online on Google Colab
prml - Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
nbdev - Create delightful software with Jupyter Notebooks
jaxopt - Hardware accelerated, batchable and differentiable optimizers in JAX.
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
lucid - A collection of infrastructure and tools for research in neural network interpretability.
PRML - PRML algorithms implemented in Python
lightwood - Lightwood is Legos for Machine Learning.
KoboldAI-Runpod - This is just a simple set of notebooks to load koboldAI and SillyTavern Extras on a runpod with Pytorch 2.0.1 Template
score_sde - Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
stable-diffusion-dreambooth-colab - Dreambooth for colab