Project_About_CodaLab
CodaLab is an open-source platform that provides an ecosystem for conducting computational research in a more efficient, reproducible, and collaborative manner.
CodaLab Worksheets allow you to capture complex research pipelines in a reproducible way and create "executable papers". Use any data format or programming language — great for the power user! CodaLab worksheets has a public instance hosted by Stanford University.
CodaLab Competitions bring together the entire community to tackle the most challenging data and computational problems today. You can win prizes and also create your own competition. CodaLab Competitions has a public instance hosted by Université Paris-Saclay. Click here for statistics about the growth and activity of the public servers.
CodaBench offers hosting competitions and benchmarks on virtually any data science problem. Building upon the capabilities of CodaLab Competitions, it introduces additional features and enhanced performance. Codabench has a public instance hosted by Université Paris-Saclay. The code is open-source.
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Percy Liang is an assistant professor of Computer Science at Stanford University. His primary research areas are machine learning and natural language processing. He leads the development of CodaLab in close collaboration with Microsoft Research and the rest of the community. |
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Isabelle Guyon is full professor at UPSud University Paris-Saclay and president of ChaLearn a non-profit organization dedicated to running machine learning competitions. Her research interested include automatic machine learning, transfer learning, and causal discovery. Isabelle served as an advisor in the development of the CodaLab competition platform and pioneered the implementation of several challenges on CodaLab. |
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Evelyne Viegas is a Director at Microsoft Research responsible for the outreach artificial intelligence program. She leads the CodaLab project working in collaboration with Isabelle Guyon, Percy Liang and the machine learning and artificial intelligence communities. |
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Sergio Escalera is adjunct professor at Universitat Oberta de Catalunya, Aalborg University, and Dalhousie University and a member of the Visual and Computational Learning consolidated research group of Catalonia and a member of the Computer Vision Center at UAB. He is series editor of The Springer Series on Challenges in Machine Learning. He is Editor-in-Chief of American Journal of Intelligent Systems and editorial board member of more than 5 international journals. He is vice-president of ChaLearn Challenges in Machine Learning, leading ChaLearn Looking at People events. |
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Xavier Baró Solé is a professor in the Computer Science Department at the Universitat Autònoma de Barcelona (UAB), a Teacher Assistant at the Universitat de Barcelona (UB), and an Associate Professor at the Faculty of Computer Science, Multimedia and Telecommunication in the Universitat Oberta de Catalunya (UOC). His research interests are related to machine learning, evolutionary computation, and statistical pattern recognition. |
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Anne-Catherine Letournel is research engineer at the Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), University Paris-Saclay. Her focus is leveraging the engineering software resources across all scientific teams of the lab: data science, interaction and visualization, HPC, algorithmics and combinatorics, bioinformatics. Her favorite domain has turned to be data science, mainly through CodaLab project since 2019. |
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Adrien Pavão is a research engineer working on improving CodaLab Competitions platform, and on organizing ambitious machine learning challenges such as AutoDL and L2RPN. He is also a PhD student at Université Paris-Saclay, under the supervision of Isabelle Guyon. His research topics include the methodology and experimental design in machine learning, the performance comparison between models and the organization of competitions. |
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Dinh-Tuan Tran is working as a DevOps Engineer for the CodaLab project. "For me, it is a precious experience where I've the chance to collaborate with people from different countries and to enjoy the team spirit. I'd like to contribute some of the values that CodaLab project brings to our society." |
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Laurent Darré is research engineer at the Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), University Paris-Saclay. He is the head of the laboratory's IT department. He joined the codalab project in 2016 to set up the first platforms at the Paris Saclay University. |
CodaLab has received important contributions from many people, and we would like to thank their efforts in making CodaLab what it is today:
Benjamin Aaron Bearce, Pujun Bhatnagar, Feng Bin, Justin Carden, Richard Caruana, Francis Cleary, Laurent Darré, Sergio Escalera, Xiawei Guo, Jennifer He, Ivan Judson, Arslan Kabeer, James Keith, Lori Ada Kilty, Shaunak Kishore, Stephen Koo, Anne-Catherine Letournel, Zhengying Liu, Zhenwu Liu, Adrien Pavao, Pragnya Maduskar, Simon Mercer, Arthur Pesah, Christophe Poulain, Lukasz Romaszko, Loïc Sarrazin, Laurent Senta, Xavier Baro Sole, Lisheng Sun, Tyler Thomas, Dinh Tuan Tran, Sebastien Treguer, Bailey Trefts, Nic Threfts, Wei-Wei Tu, Cedric Vachaudez, Paul Viola, Erick Watson, Zhen Xu, Tony Yang, Flavio Zhingri, Michael Zyskowski.
