scientific-visualization-book
skorch
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scientific-visualization-book | skorch | |
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17 | 3 | |
10,030 | 5,614 | |
- | 0.7% | |
3.6 | 7.6 | |
3 months ago | about 2 months ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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scientific-visualization-book
- Scientific Visualization: Python and Matplotlib
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Which latest DS Skill you are working on currently?
knowing matplotlib really well gets really pro viz tbh, this https://github.com/rougier/scientific-visualization-book is the best resource for it imo. Its a bit more work but you can get really great results
- Book or web book recommendation request: a data visualization cookbook using Python for scientists.
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What's New in Matplotlib 3.6.0
I had the same problem until I found this tutorial:
https://github.com/rougier/matplotlib-tutorial
If you wan something deeper the same person has written a book:
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looking for scientific visualization book in julia
i saw this one : > https://github.com/rougier/scientific-visualization-book
- Scientific-Visualization-Book - None
- 📘 An open access book on scientific visualization using python and matplotlib, h/t @MikeTamir
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Dyson hatching (dungeon map)
I re-created the hatching using matplotlib as shown here.
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Dungeon map rendering using matplotlib
From the open access book "Scientific Visualization: Python + Matplotlib. Code: dungeon.py
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Ask HN: What is the best book on data visualization in 2021?
For python this open access book is excellent: https://github.com/rougier/scientific-visualization-book
skorch
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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?
datatable - A Python package for manipulating 2-dimensional tabular data structures
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]
sktime - A unified framework for machine learning with time series
scikit-learn - scikit-learn: machine learning in Python
db-benchmark - reproducible benchmark of database-like ops
pytorch-lightning - Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
DataFrame - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
Altair - Declarative statistical visualization library for Python
ray-skorch - Distributed skorch on Ray Train
oz - Data visualizations in Clojure and ClojureScript using Vega and Vega-lite