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  1. Deep conditional autoregressive models for genome editing sequence-to-sequence problems

    Python 6 6

  2. iap-appbml Public

    Applied Probabilistic Programming & Bayesian Machine Learning (MIT IAP 2017)

    Python 32 8

  3. Predictive model for CRISPR-mediated DNA repair outcomes through NHEJ/MMEJ, built with machine learning

    Python 17 11

  4. iap-cidl Public

    Causal Inference & Deep Learning, MIT IAP 2018

    83 26

  5. Joint inference of 10 latent Gaussian processes on time series data with latent stochastic weekend/holiday/Covid effectsGPyTorch and Pyro

    Python 1

  6. Heroku/Dash app for inDelphi.

    Python 11 3

78 contributions in the last year

Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Mon Wed Fri
Activity overview

Contribution activity

August 2022

Created 1 commit in 1 repository

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