Keep pushing the boundaries of automated deep learning workflows. Start where everyone else stops. Do it with tender loving care.
So that more people would have access to the undiluted potential and power of advanced deep learning. So that those who already have access, would feel less pain and instead have more joy.
"Researchers first" drives Talos development. Everything is done for researchers, by researchers.
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1/3 of time for PLANNING
- 1/3 of PLANNING for designing the future
- 1/3 of PLANNING for writing specification
- 1/3 of PLANNING for creating documentation
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1/3 of time for TESTING
- 1/2 of TESTING time to hands-on use
- 1/4 of TESTING time for creating new tests
- 1/4 of TESTING time for improving current tests
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1/3 of time for CODING
- 1/3 of CODING time for new features
- 1/3 of CODING time for improving current features
- 1/3 of CODING time for fixing broken features
- by using Talos
- by writing about Talos
- by creating examples of using Talos
- by recommending Talos
- by testing Talos
- by contributing code (or tests)
- by making feature requests
- by improving the documentation