fastmachinelearning/hls4ml
Jun 2025 – Jun 2025
1 Month active
Languages Used
C++Python
Technical Skills
Backend DevelopmentDeep Learning FrameworksFPGAHLSModel Conversion
Hamza Ezzaoui Rahali
PROFILE
Hamza Ezzaoui Rahali
Hamza Ezzaoui Rahali developed Cropping1D and Cropping2D layer support for the fastmachinelearning/hls4ml repository, enabling spatial cropping operations within neural network models targeting FPGA deployment. He implemented template definitions and layer parsing logic in C++ and Python, ensuring compatibility with both Vivado and Vitis backends. His work included comprehensive test coverage and validation pipelines, addressing deployment scenarios for cropped layers in convolutional and recurrent architectures. By aligning with the project’s roadmap and issue tracking, Hamza contributed to feature parity and deployment readiness. The depth of his engineering focused on backend development, deep learning frameworks, and high-level synthesis model conversion.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
423
Activity Months1
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary focusing on delivering Cropping1D and Cropping2D Layer Support for hls4ml in fastmachinelearning/hls4ml. Implemented template definitions, layer parsing logic, and tests for Vivado and Vitis backends to enable spatial cropping operations in neural networks and prepared deployment pipelines for cropped layer scenarios.
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary focusing on delivering Cropping1D and Cropping2D Layer Support for hls4ml in fastmachinelearning/hls4ml. Implemented template definitions, layer parsing logic, and tests for Vivado and Vitis backends to enable spatial cropping operations in neural networks and prepared deployment pipelines for cropped layer scenarios.
June 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Backend DevelopmentDeep Learning FrameworksFPGAHLSModel Conversion
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