#javascript #2019_ncov #api #coronavirus #covid_19 #data #dataset #json #time_series

https://github.com/pomber/covid19

#html #artificial_intelligence #automl #azure_ml #best_practices #deep_learning #demand_forecasting #dilated_cnn #forecasting #hyperparameter_tuning #jupyter_notebook #lightgbm #machine_learning #model_deployment #prophet #python #r #retail #statistical_models #tidyverse #time_series

https://github.com/microsoft/forecasting

#jupyter_notebook #augmentation #data_augmentation #data_science #feature_engineering #feature_extraction #machine_learning #tabular_data #time_series

https://github.com/firmai/deltapy

#python #forecasting #forecasting_models #machine_learning #time_series

https://github.com/unit8co/darts

#cplusplus #chart #csv #dataviz #plot #px4 #qt5 #ros #rosbag #time_series #ulog

https://github.com/facontidavide/PlotJuggler

#python #deep_learning #forecasting #pytorch #self_attention #time_series

https://github.com/zhouhaoyi/Informer2020

#python #deep_learning #forecasting #machine_learning #mxnet #neural_networks #pytorch #time_series #time_series_forecasting #time_series_prediction

https://github.com/awslabs/gluon-ts

#java #database #grafana #hacktoberfest #influxdb #iot #low_latency #metrics #monitoring #postgres #postgresql #questdb #simd #sql #time_series #timeseries_database #tsdb

https://github.com/questdb/questdb

#jupyter_notebook #arima #econometrics #forecasting #machine_learning #python #statistics #time_series #timeseries

https://github.com/Nixtla/statsforecast

#jupyter_notebook #articles #artificial_intelligence #data_analysis #data_science #data_visualization #machine_learning #natural_language_processing #python #scraping #time_series

https://github.com/khuyentran1401/Data-science

#python #data_mining #data_science #forecasting #machine_learning #scikit_learn #time_series #time_series_analysis #time_series_classification #time_series_regression

https://github.com/sktime/sktime

#c_lang #bigdata #cloud_native #cluster #connected_vehicles #database #distributed #financial_analysis #industrial_iot #iot #metrics #monitoring #scalability #sql #tdengine #time_series #time_series_database #tsdb

TDengine is a powerful, open-source time-series database designed for handling large amounts of data from IoT devices, connected cars, and industrial IoT. Here are the key benefits It can handle billions of data collection points efficiently, outperforming other time-series databases in data ingestion, querying, and compression.
- **Simplified Solution** Designed for cloud environments, it supports distributed design, sharding, partitioning, and Kubernetes deployment.
- **Ease of Use** Makes data exploration and access efficient through features like super tables and pre-computation.
- **Open Source**: Available under open source licenses with an active developer community.

Using TDengine helps you manage and analyze large-scale time-series data efficiently, making it ideal for various IoT and industrial applications.

https://github.com/taosdata/TDengine

#go #alerting #ccf #metrics #monitoring #nightingale #observability #open_falcon #time_series #tsdb

Nightingale is a free, open-source monitoring tool designed for cloud environments. It combines data collection, visualization, monitoring alerts, and data analysis into one platform. This tool supports multiple time-series databases like Prometheus and VictoriaMetrics, and it has advanced alert management features, including alert rules and notifications. It also offers high-performance visualization with various dashboard templates and supports different data collectors. Using Nightingale, you can manage alerts efficiently, reduce disturbances, and ensure seamless collaboration. This makes it a powerful tool for enterprises to monitor and analyze their systems effectively.

https://github.com/ccfos/nightingale

#python #autogluon #automated_machine_learning #automl #computer_vision #data_science #deep_learning #ensemble_learning #forecasting #gluon #hyperparameter_optimization #machine_learning #natural_language_processing #object_detection #python #pytorch #scikit_learn #structured_data #tabular_data #time_series #transfer_learning

AutoGluon makes machine learning easy and fast. With just a few lines of code, you can train and use high-accuracy models for images, text, time series, and tabular data. This means you can quickly build and deploy powerful machine learning models without needing to write a lot of code. It supports Python 3.8 to 3.11 and works on Linux, MacOS, and Windows, making it convenient for various users. This saves time and effort, allowing you to focus on other parts of your project.

https://github.com/autogluon/autogluon

#go #gnmi #golang #influxdb #json #kafka #logs #metrics #modbus #monitoring #mqtt #opcua #telegraf #time_series #windows_eventlog #windows_management_instrumentation #xpath

Telegraf is a tool that helps collect, process, and send various types of data like metrics, logs, and more. It has over 300 plugins for different tasks such as system monitoring, cloud services, and messaging. You can easily configure it using TOML, and it runs as a standalone binary without extra dependencies. This makes it easy to set up and use. With Telegraf, you can choose plugins to monitor your devices, logs, networks, and more, making it very flexible and powerful for managing your data efficiently.

https://github.com/influxdata/telegraf

#go #alerting #graphing #hacktoberfest #metrics #monitoring #prometheus #time_series

Prometheus is a powerful tool for monitoring systems and services. It collects data from different sources, lets you query and analyze this data using a special language called PromQL, and can alert you when something goes wrong. Here are the key benefits It stores data in a way that makes it easy to analyze different aspects of your system.
- **Flexible queries** You can install Prometheus using precompiled binaries, Docker images, or by building it from source code.
- **Service discovery** It supports creating graphs and dashboards to visualize your data and send alerts when necessary.

Using Prometheus helps you keep a close eye on your systems, making it easier to identify and fix problems quickly.

https://github.com/prometheus/prometheus

#python #anomaly_detection #automl #benchmarking #ensemble_learning #forecasting #machine_learning #time_series

Merlion is a Python library that helps with time series tasks like forecasting and anomaly detection. It provides an easy-to-use framework for loading data, building models, and evaluating their performance. Merlion supports both univariate and multivariate time series and includes features like AutoML for hyperparameter tuning and model selection, as well as ensemble methods to combine multiple models for better results. This makes it easier for users to quickly develop and test models without needing extensive machine learning knowledge.

https://github.com/salesforce/Merlion