larq
nngen
| larq | nngen | |
|---|---|---|
| 2 | 1 | |
| 692 | 319 | |
| 0.3% | 1.9% | |
| 7.5 | 4.9 | |
| 17 days ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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larq
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Running CNN on ATmega328P
You quantize the model parameters i.e., don't just send the model in which uses floating point math instead change it to fixed point. This has 2 advantages 1) a pure size reduction and 2) most low power MCU's don't have float point multipliers but do have single cycle fixed point multipliers. This is a classic DSP trick used for a long time. The real research aspects come-in as you start dropping below 8-bit; even coming down to single-bit in some cases(see Larq)
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Simplifying AI to FPGA deployment, looking for opportunities
It is a difficult question. I work almost exclusively with open source, so I'm not much use to give you advice. Maybe you can see how Plumerai handles things -- they have some stuff proprietary, but they've also open-sourced their BNN Larq stuff: https://github.com/larq/larq
nngen
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Simplifying AI to FPGA deployment, looking for opportunities
Yes, like u/ComeGateMeBro, I also thought of hls4ml, and also something else I just found from Japan: NNgen, https://github.com/NNgen/nngen
What are some alternatives?
finn-examples - Dataflow QNN inference accelerator examples on FPGAs
TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers
model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Pyverilog - Python-based Hardware Design Processing Toolkit for Verilog HDL
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
PipelineC - A C-like hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
dace - DaCe - Data Centric Parallel Programming