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  1. Contains implementation of: Tim Salimans Et al. “Evolution Strategies as a Scalable Alternative to Reinforcement Learning”. Arxiv.org. https://arxiv.org/pdf/1703.03864.pdf.

    Jupyter Notebook 13 4

  2. Explore how well deep neural networks perform at predicting vehicle speed given just visual data (dashcam video) containing highway and suburban driving.

    Jupyter Notebook 16 9

  3. Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

    Jupyter Notebook 12.3k 4k

  4. An object relational mapping for the LIDC dataset using sqlalchemy.

    Python 51 23

  5. Algorithms for improving lung cancer detection with deep learning

    Jupyter Notebook 6 7

96 contributions in the last year

Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Mon Wed Fri
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August 2019

32 contributions in private repositories Aug 3 – Aug 22

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