Let Xiao Ai speakers control third-party devices

Last update: Jul 07, 2022

Overview

A stupid way to extend miot/xiaoai.

Demo for Panasonic Bath Bully `FV-RB20VL1`

逆向 Panasonic Smart China，获得控制浴霸的请求信息（HTTP 请求），详见 apps/panasonic.py；

2. 通过米家 APP 添加 `巴法`，以支持第三方设备，实现监听巴法云的 MQTT 消息，巴法云目前不支持浴霸，需要使用其他设备进行替代并映射，因灯与运行模式完全独立，建议实现两个设备，详见 `server.py`；

3. 为了更好的体验，需要在小爱音箱 APP 中，创建训练，转换浴霸指令为巴法云支持的指令。

Installation:

virtualenv -p python3 venv

source venv/bin/activate

pip install -r requirements.txt

Run server:

python apps/server.py

Owner

bin

Technology consultant. Creator of bastionhost.org

GitHub Repository

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Let Xiao Ai speakers control third-party devices

Related tags

Overview

A stupid way to extend miot/xiaoai.

Demo for Panasonic Bath Bully `FV-RB20VL1`

Installation:

Run server:

Owner

bin

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Let Xiao Ai speakers control third-party devices

Related tags

Overview

A stupid way to extend miot/xiaoai.

Demo for Panasonic Bath Bully FV-RB20VL1

Installation:

Run server:

Owner

bin

Scikit-learn style model finetuning for NLP

Create a machine learning model which will predict if the mortgage will be approved or not based on 5 variables

fastai ulmfit - Pretraining the Language Model, Fine-Tuning and training a Classifier

Python interface for converting Penn Treebank trees to Stanford Dependencies and Universal Depenencies

Search with BERT vectors in Solr and Elasticsearch

Nested Named Entity Recognition for Chinese Biomedical Text

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

DANeS is an open-source E-newspaper dataset by collaboration between DATASET JSC (dataset.vn) and AIV Group (aivgroup.vn)

XLNet: Generalized Autoregressive Pretraining for Language Understanding

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This python module is an easy-to-use port of the text normalization used in the paper "Not low-resource anymore: Aligner ensembling, batch filtering, and new datasets for Bengali-English machine translation". It is intended to be used for normalizing / cleaning Bengali and English text.

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