prepkg / tensorflow-lite-raspberrypi
Precompiled TensorFlow Lite 2.18.0 binaries for Raspberry Pi 3 & 4.
☆37Updated 4 months ago
Alternatives and similar repositories for tensorflow-lite-raspberrypi:
Users that are interested in tensorflow-lite-raspberrypi are comparing it to the libraries listed below
- Python API for ML inferencing and transfer-learning on Coral devices☆376Updated 10 months ago
- ☆74Updated last month
- Edge Impulse firmware for the Arduino Nano 33 BLE Sense development board☆67Updated last month
- High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices☆122Updated this week
- Trained and compiled TF Lite models, and other testing data for Coral devices☆52Updated 3 years ago
- Raspberry Pi AI Camera (IMX500) Model Zoo☆83Updated 4 months ago
- Precompiled OpenCV 4.11 binaries for Raspberry Pi 3 & 4☆51Updated 2 months ago
- ☆120Updated last year
- Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.☆29Updated 11 months ago
- Boot NVIDIA Nano Jetson Developer Kit from a mass storage USB device (Jetson Nano devices A02, B01, 2GB and possibly Jetson TX1)☆129Updated 3 years ago
- Examples using TensorFlow Lite API to run inference on Coral devices☆187Updated 7 months ago
- SImple example getting TensorFlow Lite up and running on the ESP32 with Platform.io☆132Updated 3 years ago
- C++ API for ML inferencing and transfer-learning on Coral devices☆89Updated 7 months ago
- Source code for Coral Dev Board Micro☆115Updated 6 months ago
- Arduino library for devices supporting the SSCMA-Micro firmware☆32Updated last month
- Portable C++ library for signal processing and machine learning inferencing☆82Updated last month
- ☆103Updated last week
- TensorFlow Lite Micro examples built in collaboration between Google and Antmicro, runnable in Google Colab and with Renode CI tests☆24Updated last year
- EdgeTPU support for other platforms, specifically Raspberry Pi Zero☆83Updated 4 years ago
- TensorFlow Lite SSD on bare Raspberry Pi 4 with 64-bit OS at 24 FPS☆43Updated 2 years ago
- Raspberry Pi 4 Buster 64-bit OS with deep learning examples☆135Updated last year
- Minimal-dependency Yolov5 and Yolov8 export and inference demonstration for the Google Coral EdgeTPU☆113Updated 11 months ago
- Colab/Jupyter tutorials about training TensorFlow models for Edge TPU, and other tutorials☆189Updated last year
- Internal☆48Updated last year
- This repository holds the Arduino Library for the EdX TinyML Specialization☆51Updated 2 years ago
- Python library for the PWM3901 optical flow-rate sensor☆33Updated 10 months ago
- Nvidia TAO (Train, Adapt, Optimize) with STM32Cube.AI Developer Cloud☆38Updated 3 months ago
- Builds and runs an exported impulse locally (C++)☆34Updated last month
- Use Edge Impulse for Linux models from Python☆46Updated 3 weeks ago
- A simple to use camera interface for the Jetson Nano for working with USB and CSI cameras in Python.☆127Updated 7 months ago