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  1. How to build RNNs and LSTMs from scratch with NumPy.

    Jupyter Notebook 178 59

  2. Exercises and supplementary material for the deep learning course 02456 using PyTorch.

    Jupyter Notebook 186 301

  3. Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

    Python 92 18

  4. PyTorch implementations of recent optimization algorithms for deep learning.

    Python 59 7

  5. DMControl Generalization Benchmark

    Python 67 15

  6. Voice Activity Detection (VAD) using deep learning.

    Jupyter Notebook 123 20

877 contributions in the last year

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Contribution activity

March 2022

14 contributions in private repositories Mar 1 – Mar 8