华南理工大学博士学位论文Latex模板（修改自ThuThesis https://github.com/tuna/thuthesis）

华南理工大学硕博士学位论文模板(LaTeX)。Latex templates for the thesis of South China University of Technology

(更新于2024年) 华南理工大学 LaTeX 论文模板项目，star一下嘛~(☆▽☆)，应该是最完善也是最容易使用的华工本科生论文模板了

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

这是物理学公式拟合工具 PhySO（Φ-SO）库的中文注释项目，帮助需要快速入门此工具的中国科研人员初步熟悉该工具的使用

XiaoMi Cloud Service for mi.com

Play ChatGPT and other LLM with Xiaomi AI Speaker

人工精调的中文对话数据集和一段chatglm的微调代码

A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.

LLM inference in C/C++

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Kuboard 是基于 Kubernetes 的微服务管理界面。同时提供 Kubernetes 免费中文教程，入门教程，最新版本的 Kubernetes v1.23.4 安装手册，(k8s install) 在线答疑，持续更新。

Open Source Computer Vision Library

An aided linear integer programming (ALIP) non-intrusive load monitoring (NILM) algorithm.

NILM performance evaluation functions use in the Springer Energy Efficiency journal paper.

Importing script to data wrangle (convert, clean, and repair data from) the REDD dataset

Non-Intrusive Load Monitoring Raspberry Pi Arduino Genuino

Presentation of Neural NILM for BuildSys 2015 conference in November 2015

Repo for am207 final project

The super-state hidden Markov model disaggregator that uses a sparse Viterbi algorithm for decoding. This project contains the source code that was use for my IEEE Transactions on Smart Grid journa…

An Non-Intrusive Load Disaggregation method based on Neural Network. A sequence-to-sequence model and a sequence-to-point model are proposed.

A schema for modelling meters, measurements, appliances, buildings etc

Smart meter load disaggregation with Hidden Markov Models

Sequence-to-point learning for non-intrusive load monitoring (energy disaggregation)

Code for NILM experiments using Neural Networks. Uses Keras/Tensorflow and the NILMTK.

NILM-EVAL: An evaluation framework for non-intrusive load monitoring algorithms