FTWH's repositories
ADBench
Official Implement of "ADBench: Anomaly Detection Benchmark".
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
clusterdata
cluster data collected from production clusters in Alibaba for cluster management research
DLinear
This is an official implementation for "Are Transformers Effective for Time Series Forecasting?"
DLinear-Keras
Implementation of DLinear (https://arxiv.org/abs/2205.13504) using TensorFlow as a Keras custom model. Supports multivariate time series prediction and DLinear-S & DLinear-I variants.
faas-netes
Serverless Functions For Kubernetes
faas-profiler
An open source tool for testing and profiling FaaS platforms
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
gluon-ts
Probabilistic time series modeling in Python
INFless
The source code of INFless，a native serverless platform for AI inference.
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
k8s-oversold
k8s oversold
koordinator
QoS based scheduling system for hybrid orchestration workloads on Kubernetes, bringing workloads the best layout and status.
kubeedge
Kubernetes Native Edge Computing Framework (project under CNCF)
kubefire
KubeFire 🔥, creates and manages Kubernetes Clusters using Firecracker microVMs
lithops
An open source framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud.
local-step-functions
This repository contains an ASL Workflow Engine that provides a Local Step Function implementation exposing the AWS Step Function API and supporting AWS CLI and SDK calls.
meta_rl_scaling
Code for KDD'22: A meta reinforcement learning approach for predictive autoscaling in the cloud
Multi-Objective-Hybrid-Autoscaing-MOHA
Multi-Objective Hybrid Autoscaing (MOHA)
Orion-OSDI22
Serverless optimizations
Pagurus
Help Rather Than Recycle: Alleviating Cold Startup in Serverless Computing Through Inter-Function Container Sharing
pytorch-forecasting
Time series forecasting with PyTorch
robust-period
Unofficial Implementation of RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection
SCINet
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.
time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.