Op
Open-source experiment tracking for machine and deep learning
Open-source experiment tracking for machine and deep learning
Share cardActual performance
4points
5comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
51%51% predicted probability of success on BetaList, based on ML models trained on real launch data.
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
16%16% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Mo
ModelChimp – Experiment tracking for machine and deep learning59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ModelChimp – Experiment tracking for machine and deep learning
Pr
Pronounceability – My First Open Source Machine Learning WebApp66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pronounceability – My First Open Source Machine Learning WebApp
Th
The Open Source Deep Learning Glossary76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Open Source Deep Learning Glossary
An
An Open Source Deep Learning/Machine Learning Stack on Kubernetes75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An Open Source Deep Learning/Machine Learning Stack on Kubernetes
Op
Open MLOps – Open-Source Production Machine Learning70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open MLOps – Open-Source Production Machine Learning
Si
Simon – open-source automated machine learning77%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Simon – open-source automated machine learning
Op
OpenMined - Open Source Project for Federated Deep Learning64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
OpenMined - Open Source Project for Federated Deep Learning
Op
Open source text annotation tool for machine learning practitioner67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open source text annotation tool for machine learning practitioner
Ex
Experiment Tracking for Machine Learning47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Experiment Tracking for Machine Learning
Pl
PlaidML, open source deep learning for any GPU74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PlaidML, open source deep learning for any GPU