coral-pi-rest-server
mobilenets-ssd-pytorch
coral-pi-rest-server | mobilenets-ssd-pytorch | |
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44 | 1 | |
66 | 92 | |
- | - | |
0.0 | 1.8 | |
7 months ago | about 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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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.
mobilenets-ssd-pytorch
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Mobilenet SSD pytorch custom data set implementation
Hi, Like this one https://github.com/tranleanh/MobileNets-SSD-PyTorch ?
What are some alternatives?
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
Yet-Another-EfficientDet-Pytorch - The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
double-take - Unified UI and API for processing and training images for facial recognition.
simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper
rpi-urban-mobility-tracker - The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
TFLiteDetection - TensorFlow Lite Object Detection Python Implementation
opentts - Open Text to Speech Server
YOLOv6 - YOLOv6: a single-stage object detection framework dedicated to industrial applications.
HASS-coral-rest-api - Coral REST API for HASS
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
os-nvr
ovos-core - OpenVoiceOS Core, the FOSS Artificial Intelligence platform.