We spotlightAuthors With Code, make it easier to find solutions forTasks (With Code), and enable learners to graspConcepts With Code.These initiatives are work in progress

Machine learning researchers and practitioners contributing to open source are thetrue catalysts AI progress. Their contributions have paved the way for innovations across industries, with many corporations benefiting significantly from this open collaboration.

It could be a strategic advantage for businesses leveraging machine learning to directly invest in theseresearchers and practitioners. Especially those who share code and models with licenses that encourage widespread use. Presently, while use of open source with permissible licenses primarily requires just attribution from companies, businesses can demonstrate their commitment to innovation and benefit even more by actively investing in the community that propels their advancements.

GitHub sponsorship is one direct way to accomplish this.However, the majority of them (~98%) have not enabled sponsorship yet. At this point, all we can do is a symbolic gesture of support by starring their repos.

AuthorsWithCode pursues two primary objectives:

1. To inspire both individuals and businesses to sponsorresearchers and practitioners.
2. To create a direct channel for both rewarding and investing in them by encouraging them to activateGitHub sponsorship.

An auxiliary objective is to fill the current gap in finding both paper and code contributions by an author in one place - an author-centric view. This gap is not covered byGoogle Scholar, which focuses primarily on citations. Additionally, Google Scholar overlooks an important segment that contributes to open-source implementations of papers: practitioners, some of whom have never published a single paper.Paperswithcode, in contrast, provides a paper-centric view with links to accompanying code, encompassing both researchers and practitioners

We address these objectives with anapp that facilitates the discovery of these contributors and simplifies the process of investing in them.

AuthorsWithCode relies on openly published data from paperswithcode, to create an author-centric view by combining it with GitHub data available through APIs.

• -Watch. Walkthrough. Interact.ConceptsWithCodeML concepts explained, accompanied by a notebook and a code walkthrough

• -TasksWithCodeDiscover and compare SOTA solutions for tasks with a few keystrokes/clicks

• -Free APIs for tasks using SOTA models (with permissive licenses). Please use for evaluation only to avoid overwhelming servers

• -demo apps hosted onTWC servers and/or onHugging Face

• -notebooks in Google colab

• -Github repos with experiments that are work in progress

• -Aperiodic posts onSubstack,Ghost, andMedium

• -Twitter,Sigmoid Social,Threads,Youtube,TikTok

• Platinum level supporter ofSigmoid Social - a Mastodon instance for people researching, working on, or just interested in AI
• Supporting NLP News onSubstack
• Supporting researchers/practitioners here on Github(see"Sponsoring" block/tab on this page ).

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1. TWC-ContributionsTWC-ContributionsPublic

   Contributions to ML tasks in the form of Tools, Videos , Notebooks, Apps and APIs

   2