This repository contains the code that tests a cloud resource usage forecasting method based on the insight of data persistence, using timeseries of resource usage from publicly available datasets …

This is the repository of the Huawei Public Cloud and Huawei Private Cloud datasets.

C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & more LLMs

One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。

Cloud resources forecasting using LSTM Neural Networks

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

Kubernetes Scheduler Simulator

K8s cluster simulator for capacity planning

PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".

Time Series Comparison for Google's 2019 Trace Dataset

FaaSFlow: Enable Efficient Workflow Execution for Function-as-a-Service

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

A latent text-to-image diffusion model

A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁️🚀

High-Resolution Image Synthesis with Latent Diffusion Models

Serverless optimizations

GUI for a Vocal Remover that uses Deep Neural Networks.

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

SFS: A Smart OS Scheduler for Serverless Function Workloads (SC'22)

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." https://arxiv.org/abs/2211.14730

PaddleTS - PaddlePaddle-based Time Series Modeling in Python

This is theofficial implementation for "Are Transformers Effective for Time Series Forecasting?"

“让爷康康”是一款手机 AI 应用程序，可以监测不良坐姿并进行语音提示

A benchmark suite for evaluating FaaS scheduler.

k8s oversold

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415