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@DevoLearn
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Mayukhdeb/README.md

Hi, I'm Mayukh

twitter blog

I spend more time with PyTorch, NumPy, SciPy, Pandas and OpenCV than I do with my friends. 👾

Stuff I've done:

📗 Creator of:

  • Torch-dreams - Making neural networks more interpretable, for research and art.
  • Devolearn - Data driven research on embryos with deep learning models.

🔍 Currently:

  • Trying to improve torch-dreams to facilitate research in neural network interpretability. The goal is to make something like lucid but on steroids

In case you want to get in touch, here's where you can find me:

Pinned

  1. Making neural networks more interpretable, for research and art 🔎 💻 🧠 🎨

    Python 155 6

  2. experimenting with differentiable models of morphogenesis 🔬 🦠

    Jupyter Notebook 28 1

  3. Accelerate data driven research on embryos with deep learning models 🔬

    Python 26 18

  4. Recurrent All Pairs Field Transforms for Optical Flow: on RunwayML

    Python 1

  5. turning a face segmentation model inside out

    Python 2 1

  6. Tiny neural net library written from scratch with cupy ⚠️ under construction ⚠️

    Python 1

1,528 contributions in the last year

Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr Mon Wed Fri
Activity overview
Contributed to Mayukhdeb/torch-dreams, devoworm/GSoC-2020, DevoLearn/devolearn and 5 other repositories

Contribution activity

April 2021

Created 1 repository
Reviewed 1 pull request in 1 repository

Created an issue in DevoLearn/devolearn that received 2 comments

tests: unit tests do not check the outputs of models

While the unit tests do cover the output types, they do not check if the outputs themselves are correct/incorrect. To do: Use some loss function w…

2 comments
1 contribution in private repositories Apr 9

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