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  1. Machine Learning sentry: classify objects, pick one category, point it out in the real world (with a laser pointer). Use TensorFlow / Keras.

    Python 2

  2. Signals processing: spectrum visualizer for audio files; uses the Fourier transform with scipy.

    Python 4 2

  3. In N-dimensional space, calculate the volume of the N-sphere inscribed in the unit N-cube, using the Monte Carlo method, in a Jupyter notebook. Vector math (Numpy), multiprocessing, GPU/CUDA accele…

    Jupyter Notebook

  4. Simple installation of machine learning and data science software.

    Shell 1

  5. An Open Source Machine Learning Framework for Everyone

    C++ 136k 78k

  6. The Octave.app distribution

    19 5

253 contributions in the last year

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Contribution activity

October 2019

Created an issue in numpy/numpy that received 2 comments

Mac/Linux with multiprocessing, all workers are seeded the same random state

Reproducing code example: Full code is here, I will leave this branch untouched so you can see the behavior I'm talking about: https://github.com/…

2 comments

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