pi-gemm
tflite-micro
| pi-gemm | tflite-micro | |
|---|---|---|
| 1 | 2 | |
| 87 | 1,661 | |
| - | 4.2% | |
| 10.0 | 9.4 | |
| almost 10 years ago | 3 days ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pi-gemm
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Recognizing Speech with a Raspberry Pi
You're correct, though funnily enough years ago I did write some open source code for the Pi One's GPU, to help accelerate neural networks: https://github.com/jetpacapp/pi-gemm
tflite-micro
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An open-source library for optimizing deep learning inference. (1) You select the target optimization, (2) nebullvm searches for the best optimization techniques for your model-hardware configuration, and then (3) serves an optimized model that runs much faster in inference
Open-source projects leveraged by nebullvm include OpenVINO, TensorRT, Intel Neural Compressor, SparseML and DeepSparse, Apache TVM, ONNX Runtime, TFlite and XLA. A huge thank you to the open-source community for developing and maintaining these amazing projects.
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Recognizing Speech with a Raspberry Pi
Love that project! On the microcontroller side, I also work on TensorFlow Lite Micro, which has some (very basic) examples of speech detection for tiny devices: https://github.com/tensorflow/tflite-micro/tree/main/tensorflow/lite/micro/examples/micro_speech
What are some alternatives?
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
openvino - OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
nebuly - The user analytics platform for LLMs
neural-compressor - SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
tensorflow - An Open Source Machine Learning Framework for Everyone