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  1. Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).

    Python 507 84

  2. Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

    Python 120 33

  3. Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

    Python 117 3

  4. Proof of concept REPL shell for Dart

    Dart 70 6

  5. Compression algorithms (like the well-known zip file compression) can be used for machine learning purposes, specifically for classifying hand-written digits (MNIST)

    Jupyter Notebook 28 2

  6. Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.

    Python 21 3

959 contributions in the last year

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Activity overview
Contributed to BlackHC/batchbald_redux, BlackHC/toma, BlackHC/corona and 5 other repositories
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Contribution activity

August 2020

33 contributions in private repositories Aug 11 – Aug 13

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