Skip to content
View sidgan's full-sized avatar
:shipit:
:shipit:
263 followers · 103 following

Achievements

Achievement: Starstruckx2Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Starstruckx2Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Highlights

Organizations

@oaqa @mozillascience @spaceml-org

Block or report sidgan

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
sidgan/README.md

Siddha Ganju

Currently, I am an Architect at Nvidia focusing on the Self-Driving initiative. I work towards stable and scalable training of neural networks on very large data centers, and utilize simulation to validate the neural networks.

In 2017 I led NASA's Long-Period Comets team within their AI accelerator, called Frontier Development Lab, where we use machine learning to develop meteor detectors. Recently this project was able to provide the first-ever instrumental evidence of an outburst of 5 meteors coming from a previously known comet, called C/1907 G1 (Grigg-Mellish). As a member of the NASA FDL AI Technical Committee, I'm working towards incorporating AI in many space science projects!

I have also authored a book on Practical Deep Learning for Cloud, Mobile & Edge - O'Reilly Publishers




** Featured as a learning resource on the official Keras website**

[Online on Safari] | [Buy on Amazon] | [Online on Google Books] | [Book Website] | [Presentation on Slideshare]

Pinned Loading

  1. whats_in_a_question whats_in_a_question Public

    CVPR'17 Spotlight: What’s in a Question: Using Visual Questions as a Form of Supervision

    Lua 44 8

  2. PracticalDL/Practical-Deep-Learning-Book PracticalDL/Practical-Deep-Learning-Book Public

    Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

    Jupyter Notebook 752 316

  3. ETCI-2021-Competition-on-Flood-Detection ETCI-2021-Competition-on-Flood-Detection Public

    Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

    Jupyter Notebook 162 34

  4. spaceml-org/GIBS-Downloader spaceml-org/GIBS-Downloader Public

    GIBS Downloader is a command-line tool which facilitates the downloading of NASA satellite imagery and offers different functionalities in order to prepare the images for training in a machine lear…

    Jupyter Notebook 45 8

  5. spaceml-org/Self-Supervised-Learner spaceml-org/Self-Supervised-Learner Public

    Curator can be used to train a classifier with fewer labeled examples needed using self-supervised learning.

    Jupyter Notebook 110 28