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donnemartin / data-science-ipython-notebooks

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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
python aws data-science machine-learning caffe theano big-data spark deep-learning hadoop tensorflow numpy scikit-learn keras pandas kaggle scipy matplotlib mapreduce
  • Updated Oct 1, 2020
  • Python

keras-team / keras-contrib

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Finish the documentation

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gabrieldemarmiesse
gabrieldemarmiesse commented Mar 2, 2019

This issue is related to #412 and #470 . Now that we have a proper and easy way to build the documentation, all classes/functions should go in there. There is also quite some work needed because some docstrings are not formatted correctly (mostly newlines and indentation issues). I made the skeleton of the docs, what's left is making it big and pretty.

To start, see those files:

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good first issue help wanted

cgre-aachen / gempy

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GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.
python theano interpolation modeling geoscience bayesian monte-carlo-simulation implicit uq geology uncertainties uncertainty-analysis complex-geological-models geological
  • Updated Oct 22, 2020
  • Python

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