machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn (by rasbt)
skorch
A scikit-learn compatible neural network library that wraps PyTorch (by skorch-dev)
machine-learning-book | skorch | |
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2 | 3 | |
2,863 | 5,634 | |
- | 0.7% | |
6.8 | 6.9 | |
8 days ago | 8 days ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
machine-learning-book
Posts with mentions or reviews of machine-learning-book.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-27.
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Implementing a ChatGPT-like LLM from scratch, step by step
Sorry, in that case I would rather recommend a dedicated RL book. The RL part in LLMs will be very specific to LLMs, and I will only cover what's absolutely relevant in terms of background info. I do have a longish intro chapter on RL in my other general ML/DL book (https://github.com/rasbt/machine-learning-book/tree/main/ch1...) but like others said, I would recommend a dedicated RL book in your case.
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"Machine Learning with PyTorch and Scikit-Learn" book
All the code examples are available here: https://github.com/rasbt/machine-learning-book
skorch
Posts with mentions or reviews of skorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-04.
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[P] skorch 0.12.0 - HuggingFace integrations for sklearn, M1 support and others
Find a detailled list of changes in the release text.
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[P] ray-skorch - distributed PyTorch on Ray with sklearn API
I'm the principal author of ray-skorch, a library that lets you run distributed PyTorch training on large-scale datasets while providing a familiar, scikit-learn compatible skorch API, integrating well with the rest of the scikit-learn ecosystem.
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Scikit-Learn Version 1.0
There are scikit-learn (sklearn) API-compatible wrappers for e.g. PyTorch and TensorFlow.
Skorch: https://github.com/skorch-dev/skorch
tf.keras.wrappers.scikit_learn: https://www.tensorflow.org/api_docs/python/tf/keras/wrappers...
What are some alternatives?
When comparing machine-learning-book and skorch you can also consider the following projects:
python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]