[OC] Gender diversity in Tech companies

This page summarizes the projects mentioned and recommended in the original post on /r/dataisbeautiful
Distributed Applications Machine Learning Data Science Productivity model-management

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  • Hystrix

    Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.

    • They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural networks to downscale video.. Sound familiar? That’s cause that’s practically the same thing as Nvidia’s DLSS (which upscales instead of downscales).

  • metaflow

    :rocket: Build and manage real-life ML, AI, and data science projects with ease!

    • They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural networks to downscale video.. Sound familiar? That’s cause that’s practically the same thing as Nvidia’s DLSS (which upscales instead of downscales).

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • Stackoverflow-Survey-Analysis

    Analyze a given Data and answer the questions using Python Pandas library. Stack Overflow Developer Survey Analysis and answers

    • I don't know if there's a rigorous study on this subject but Stack Overflow Developer Survey 2022's data lists 18 083 male vs. 756 female developers without a degree (96% vs. 4%) on a quick glance. This result isn't published directly in their summary, you have to download the dataset and filter it yourself.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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