coral-pi-rest-server
rpi-urban-mobility-tracker
coral-pi-rest-server | rpi-urban-mobility-tracker | |
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44 | 1 | |
66 | 112 | |
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0.0 | 0.0 | |
7 months ago | 7 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 only |
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coral-pi-rest-server
- BeagleY-AI: 4 TOPS-capable $70 board from Beagleboard
- Do you recommend Orange PI for ML or LLM projects?
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Framework for machine learning?
That said, you can always look at something like https://coral.ai/products/accelerator/ to help with the performance you need.
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Mini PC for AI
Should only be ~$60 https://coral.ai/products/accelerator/
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What are some USB devices worth using in a Home Lab Environment?
The Coral USB accelerator might be of interest if you want to do some light ML with a low power budget.
- Is a PCIe x1 enough for light ML tasks
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Would I be able to run ggml models such as whisper.cpp or llama.cpp on a raspberry pi with a coral ai USB Accelerator?
However, a pi doesn't have the strength to run something like Llama.cpp, of course, so I've been considering using something like the Coral USB Accelerator (https://coral.ai/products/accelerator). As I've been learning more about it, it seems to be very geared towards TensorFlow Lite models. But whisper.cpp and Llama.cpp use ggml models.
- Looking for a Mini PC for Home Assistant and Frigate.
- AI development suite on a stick?
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Modder wires ChatGPT into Skyrim VR so NPCs can roleplay and remember past conversations
Recently found this thing, though I haven't found a use case for me.
rpi-urban-mobility-tracker
What are some alternatives?
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
spchcat - Speech recognition tool to convert audio to text transcripts, for Linux and Raspberry Pi.
double-take - Unified UI and API for processing and training images for facial recognition.
TFLiteClassification - TensorFlow Lite Image Classification Python Implementation
opentts - Open Text to Speech Server
docs - TensorFlow documentation
HASS-coral-rest-api - Coral REST API for HASS
kivy-tensorflow-helloworld - Run inference with Tensorflow Lite on iOS, Android, MacOS, Windows and Linux using Python.
os-nvr
tensorflow_lite_alpine - Tensorflow Lite reduced to a tiny C library compatible with musl environments like Alpine Linux
ovos-core - OpenVoiceOS Core, the FOSS Artificial Intelligence platform.
DeepSORT - support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++