Embedded Learning Library
Role in this project:
Back-end Developer & ML Engineer Contributions:27 commits, 10 pushes, 1 branch in 10 months
Contributions summary:Robert significantly contributed to the Embedded Learning Library (ELL) by implementing parameter validation for the SWIG interface, enhancing the robustness of the Python and JavaScript bindings. They developed a Python conda package for ELL, integrating build outputs and necessary utility files. Furthermore, the user fixed an IR emitter bug, ensuring correct identifier generation in long-lived scripting sessions. They also revived and enhanced the `ell_module` to support the ELLView, adding new SWIG methods for loading maps and model refinement.
library-learningiotmachine-learningembedded
A Typescript library for parsing Python 3 and doing basic program analysis, like forming control-flow graphs and def-use chains.
Contributions:55 commits, 2 PRs, 27 pushes in 3 months
control-flow-graphparsingprogram-analysispythontypescript