Open Issues Need Help
View All on GitHub Fully specify meta.toml files for plugins 9 days ago
AI Summary: This issue proposes to fully define the semantics and potential constraints for fields within `meta.toml` files used for plugins. The goal is to ensure clarity and consistency by specifying exact meanings, evaluating the necessity of existing fields, and defining allowed values for certain fields.
Complexity:
3/5
enhancement help wanted major priority concept discussion
Design, train and generate neural networks optimized specifically for FPGAs.
Python
#artifical-intelligence#deep-learning#embedded-systems#fpga
good first issue
Design, train and generate neural networks optimized specifically for FPGAs.
Python
#artifical-intelligence#deep-learning#embedded-systems#fpga
Combining Bias and Weight ROM into one ROM 8 months ago
good first issue minor priority refactor
Design, train and generate neural networks optimized specifically for FPGAs.
Python
#artifical-intelligence#deep-learning#embedded-systems#fpga
good first issue medium priority refactor
Design, train and generate neural networks optimized specifically for FPGAs.
Python
#artifical-intelligence#deep-learning#embedded-systems#fpga