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deppp

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1 points·by deppp·2 years ago·0 comments

Show HN: Adala framework – Applying LLM skills to various data processing tasks

github.com
4 points·by deppp·3 years ago·1 comments

Create Datasets for Training YOLO Object Detection

labelstud.io
1 points·by deppp·5 years ago·0 comments

Label Studio Teams

heartex.com
8 points·by deppp·5 years ago·0 comments

Improving domain-specific transcription accuracy with data labeling

labelstud.io
13 points·by deppp·5 years ago·0 comments

Evaluate NER Parsers with SpaCy and Label Studio

labelstud.io
9 points·by deppp·5 years ago·0 comments

Label Studio v1.0

labelstud.io
34 points·by deppp·5 years ago·2 comments

comments

deppp
·5 years ago·discuss
Heartex / Label Studio | SFBA, Remote | Full-time

We're the leading open-source solution for data labeling with 6K+ stars on GitHub! If you're excited about Data Science & Machine Learning, we've got a few positions open. Our stack is Django, React, and a bunch of ML frameworks.

Product Manager: Own and develop our flagship open-source product Label Studio

Evangelist: Engage data science community and build meaningful relationships

Customer & Community Support Engineer: Help our customers and open source users to get up and running with the software.

We're a passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and data management.

To learn a bit more about the product visit https://github.com/heartexlabs/label-studio

If you want to start a conversation feel free to reach out to me [email protected]
deppp
·5 years ago·discuss
Heartex / Label Studio | SFBA, Remote preferable | Full-time

We're the leading open source solution for data labeling with 6K+ stars on GitHub! If you're excited about Data Science & Machine Learning we've got a few positions open. Our stack is Django, React, and a bunch of ML frameworks.

Product Manager: Work on Label Studio directly, managing multiple lines of product feedback (open source users, customers, internal ideas). Help prioritize and improve features, connecting that to the product metrics.

Customer & Community Support Engineer: Help our customers and open source users to get up and running with the software. Troubleshoot any of the deployment / software issues they may have. You need to have a good understanding of Infrastructure/DevOps/Deployment practices and be empathetic towards people and their problems.

We're a small passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and data management experience.

To learn a bit more about the product visit https://github.com/heartexlabs/label-studio

If you want to start a conversation feel free to reach out to me [email protected]

#open source #machine learning #data science #ml #django #python
deppp
·5 years ago·discuss
Heartex / Label Studio | SFBA, Remote preferable | Full-time

We're the leading open source solution for data labeling with 5K+ stars on GitHub! If you're excited about Data Science & Machine Learning we've got a few positions open. Our stack is Django, React, and a bunch of ML frameworks.

Head of Engineering: Lead open source engineering team as well as organize developers' community, their contributions, feature requests, feedback, manage backlog, and development process. We have big plans in terms of open source growth and you'll be leading a lot of that.

Customer & Community Support Engineer: Help our customers and open source users to get up and running with the software. Troubleshoot any of the deployment / software issues they may have. You need to have a good understanding of Infrastructure/DevOps/Deployment practices and be empathetic towards people and their problems.

We're a small passionate team with almost everybody on the team having 10+ years of experience in their domains. Our goal is to transform ML development by improving data labeling and data management experience.

To learn a bit more about the product visit https://github.com/heartexlabs/label-studio

If you want to start a conversation feel free to reach out to me [email protected]
deppp
·5 years ago·discuss
Excited to post about this, Label Studio – open source data labeling tool we've started working on more than a year ago is hitting v1.0 with a lot of new goodies.

We originally started working on it due to the complexity of bringing ML systems to production. So much depends on data quality, and dataset understanding, but the tooling to help you with that process was just not there. You probably know that first hand if you've worked on production ML systems.

With this release Label Studio gets multi-user labeling. It's important because advanced and accurate supervised ML systems are a product of collaboration between people. Using accounts users can work on the same datasets and each user’s annotations are tied to their account. Using Projects you can streamline managing and work on different datasets, projects as well can be shared with other users. It can be embedded into the ML pipeline for humans in the loop and online learning scenarios.You can use Label Studio for computer vision, NLP, speech processing, time series analysis, and more

Would love to hear your feedback!