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data-cube-vscode

esphome-panasonic-ac

Open source alternative for Panasonic air condition wifi adapters that works locally without the Comfort Cloud

esphome-somfy

Esphome configuration for Somfy Blind

esphome_kingarts_dimmer

esphome_wd1228a_pool_thermometer

eyesegmentation

harvester

Open source hyperconverged infrastructure (HCI) software

harvester-installer

hyperion_led-controller

To be used as wireless externsion for Hyperion, but can be controlled without

jablotron80

Jablotron 80 integration for Home assistant

k3s-traefik-v2-kubernetes-crd

Deployment files for Traefik v2 Kubernetes CRD for ingress

kong

🦍 The Cloud-Native API Gateway

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

mimdet

MIMDet: Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection

mycobot

myCobot on ROS 2

mycobot_ros2

myCobot ROS2 package

nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

odc-tools

ODC features that DEA is experimenting with or prototyping with the intention of being integrated into odc-core in the future

paper-kit-2-angular

Free Bootstrap 4 UI Kit for Angular 2+

presentation

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

smartrc-cc1101-driver-lib

This driver library can be used for many libraries that use a simple RF ASK module, with the advantages of the cc1101 module. It offers many direct setting options as in SmartRF Studio and calculates settings such as MHz directly.

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

uponor_knx_rf_thermostat

yolo-fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

yolo-fastestv2

:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

yolobile

This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

yolof

yolop

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)