fastmachinelearning / hls4ml
Machine learning on FPGAs using HLS
Why this job: topics: neural-network, keras, machine-learning, pytorch
What it does
A package for machine learning inference in FPGAs. We create firmware implementations of machine learning algorithms using high-level synthesis (HLS). We translate traditional open-source machine learning package models into HLS that can be configured for your use-case!
Get started
pip install hls4ml- Maintenance
- Active
- Last commit yesterday
- Stars
- 2,203
- +5 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.3.0
- Released 7 months ago
- Built with
- Python
- 51% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 93% closed
- 37 still open
- Pull requests
- 715 merged
- 32 waiting
- Releases
- 20
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 51%
- C++ 40%
- Tcl 4%
- Logos 3%
Topics
- hls
- machine-learning
- fpga
- python
- keras
- pytorch
- onnx
- vivado
- vivado-hls
- neural-network
- intel-hls
Project record
- JobAI libraries and models
- StatusListed
- Commits2,780
- Forks616
- Watching48
- Stars in 28 days+21
- CreatedOct 25, 2017
- First seen by usNov 7, 2026
- CheckedNov 12, 2026