CatalyzeX: A must-have browser extension for machine learning engineers and researchers

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A FREE browser extension that finds code implementations for ML/AI papers anywhere on the internet (Google, Arxiv, Twitter, Scholar, and other sites) Code is one of the fundamental building blocks in machine learning research. Engineers already are in the habit of publishing code to share with the community, and it is now becoming standard for researchers to publish their code online as well. Increasingly more ML conferences are making it a requirement. As David Ha (@hardmaru), a research scientist at Google Brain, puts it: However, even if the code is actually available, you often have to go through the hassle…...

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Himanshu Ragtah I previously worked at Tesla -- where I was automating manufacturing testing for Tesla PowerWall, PowerPack, and SuperCharger. I’m also a TEDx speaker on bias due to AI (especially for women and minorities) and on intelligent transportation. Alongside that, I'm a SXSW judge, Kairos Society fellow, Hackernoon top publisher, and earlier on, I co-founded a SpaceX Hyperloop team with schools like Cornell, Princeton, and UMichigan and our prototype placed top 10 internationally -- and was featured on CNN, The Verge, Wired, and CNBC. I'm a fellow of Kairos Society-- an elite club of founders that identify society’s most pressing challenges and build new solutions to address them (with mentors like Sir Richard Branson, Bill Clinton, and Hayden of the CIA). I was previously awarded the NSERC (NSF equivalent in Canada) Industrial Undergraduate Student Research Award, open-sourced a 3D-printed prosthetic for US veteran amputees, led a drone robotics team, and judged top robotics contests (SXSW, PennApps, Lego League). Lastly, I helped design an innovative electronic music instrument that was featured on CBC and DigitalTrends.