A custom integration to control Tapo devices from home assistant.
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Updated
Oct 28, 2026 - Python
A custom integration to control Tapo devices from home assistant.
The set-and-forget LLM engine for Pascal and Volta: PXQ codec + kernels, auto-tuned per card. Ready-to-run PXQ models in MODELS.md; benchmarks vs llama.cpp in the README.
Quickly setup SSH connection to Kaggle Kernel for Deep Learning. In order to use that sexy Tesla P100 for free (and without many restriction of Jupyter Notebook) :P
LLM benchmarking, GPU workload orchestration backend server | Deepseek-R1, Qwen2.5, Llama3.1 | 4xRTX-5090 inside PRU2500, 2xH100 inside PRU2500, 8xMI210 in SuperMicro
Dashboard for AI Studio, Open Source Continuous Inference | Deepseek-R1, Qwen2.5, Llama3.1 | 4xRTX-5090 inside PRU2500, 2xH100 inside PRU2500, 8xMI210 in SuperMicro
C# interface to the TP-Link TapoP100 and TapoP110 smart plugs
Library for communicating with Tapo P100 smart plug
A custom integration for home assistant to control the Tapo P100 plugs
llama.cpp work for 2x Tesla P100 (sm_60): half2 decode mat-vec, FA FP16 accumulator fix, P2P, pre-hardware models
Movement Mapper (formerly Matter Activity Logger) is a local-first activity logging and visualization tool designed for smart home motion sensors (specifically Tapo P100/T100 series). It allows you to track, visualize, and analyze movement patterns within your home without relying on cloud dashboards.
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