Skip to content
Explore + learn deeply.
Explore + learn deeply.


  • Arctic Code Vault Contributor
  • Pro


@for-ai @VectorInstitute @UTMIST


  1. Generating structured sparsity in neural networks using weight and unit pruning techniques.


  2. Fitting a recognition model (VAE) to do approximate inference on intractable posteriors of probabilistic models using an ELBO estimator.

    Python 3 2

  3. Berkeley CS285 Deep RL assignments exploring theory and implementations of model free algorithms.

    Python 2

  4. Predicting transcription factor binding sites using next-generation sequencing genomic data and Segway.


  5. A tool that processes language data in real time and applies the expectation maximization algorithm to infer medical diagnoses based on symptoms.


  6. An app that runs a generative model for employing personalized solutions based on irregularly sampled habitual usage data to quitting vaping.

    JavaScript 1

598 contributions in the last year

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

Contribution activity

September 2020

71 contributions in private repositories Sep 3 – Sep 25

Seeing something unexpected? Take a look at the GitHub profile guide.

You can’t perform that action at this time.