Atlas ML is a development platform for deep learning. They developed Papers With Code, the world’s largest machine learning resource for models and results. In 2019, just 18 months after launching they were acquired by Meta as an integration into their deep learning research.
Deep learning sits at the forefront of AI as the most powerful technology to unlock major datasets. Working with this can be incredibly difficult due to a number of factors including local hardware, software capacity and accessing information. Without access to the wide array of discoveries rapid progress cannot be made in the next generation of breakthroughs.
Atlas sits at the front of unlocking deep learning research. Git and GitHub were designed for code, but new software has new ingredients like data and models that require new solutions. Atlas are building a community and toolkit to solve the workflow problem for machine learning and shape the future of software. Content on the site is partly automated and partly crowd-sourced; researchers can submit code implementation and results for their papers. This has become the largest research pool of its kind.
Ross Taylor is a well-known open source author in the Python community. He previously worked as a machine learning engineer in the sports betting and finance industries. He holds a Master’s in Economics from the University of Cambridge.
Robert Stojnic was one of the early core developers at Wikipedia, and scaled the community to billions of users. He was also CTO at two deep tech companies where he led teams building machine learning software. He holds a PhD in Computational Biology from the University of Cambridge.
Founded at Entrepreneur First
Acquired by Meta