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
Developed Cropping1D and Cropping2D layer support for the fastmachinelearning/hls4ml repository, enabling spatial cropping operations within neural network models targeting FPGA deployment. The work involved implementing template definitions and layer parsing logic in C++ and Python, ensuring compatibility with both Vivado and Vitis backends. Comprehensive tests were created to validate correct behavior and stability of the new layers across different deployment scenarios. This feature addressed issue #1309 and aligned with the project roadmap, expanding backend capabilities for convolutional and recurrent neural networks. The contribution focused on backend development, deep learning frameworks, and model conversion, enhancing deployment readiness for cropped layer scenarios.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
423
Activity Months1
Your Network
19 peopleShared Repositories
19
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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