Toloka Global Community
Be a part of a community that shapes a framework of excellence
across all stages of the machine learning life cycle.
Join us if you want to:
- Grow your expertise in applying data-centric AI to real-world ML production
- Share practical experience and tackle everyday challenges together
- Develop and promote best practices, tools, and infrastructure for ML systems
Subscribe to our digest
and get a Slack invite
Stay on top of community events
and the latest news in the AI world.
and the latest news in the AI world.
Useful resources
- Community eventsJoin our events where community members share their experience solving practical problems related to the ML life cycleLearn more
- Toloka blogRead product news, case studies, technology articles, and industry insightsLearn more
- VideosWatch recordings of past webinars, meet-ups, workshops, and other eventsLearn more
Toloka open source libraries
Check out our open source libraries and tools to simplify working with labeled data.
- Toloka-KitA Python library for working with Toloka via API. It simplifies building scalable and fully automated solutions.Learn more
- Crowd-KitA Python library with aggregation methods, datasets, and other tools to work with crowdsourced data.Learn more
- Toloka-Java-SDKA lightweight interface to the Toloka API that works in any Java environment.Learn more
Grants and free datasets
- GrantsWe support the academic community, students, and startups.
Apply for a grant to boost your ML projects or enhance your research.Learn more - Public datasetsFree public datasets with large amounts of human-labeled training data applicable to machine learning in a variety of areas.Learn more
Join the ranks
Toloka Global Community is a space for exchanging ideas, code, and expertise. Together we can shape a framework of excellence across all stages of the machine learning lifecycle.
We discuss a wide range of topics like natural language processing, computer vision, search relevance, and more!
We invite people from all walks of ML: data scientists, researchers, ML engineers, and everyone else. If you have practical experience to share or challenges to mull over, don’t hesitate to join the conversation!