#javascript #2019_ncov #api #coronavirus #covid_19 #data #dataset #json #time_series
https://github.com/pomber/covid19
https://github.com/pomber/covid19
GitHub
GitHub - pomber/covid19: JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily
JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily - GitHub - pomber/covid19: JSON time-series of coronavirus cases (confirmed, deaths and recovered...
#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
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
https://github.com/firmai/deltapy
GitHub
GitHub - firmai/deltapy: DeltaPy - Tabular Data Augmentation (by @firmai)
DeltaPy - Tabular Data Augmentation (by @firmai). Contribute to firmai/deltapy development by creating an account on GitHub.
#typescript #electron_app #jira #linux #macos #task_manager #time_tracker
https://github.com/johannesjo/super-productivity
https://github.com/johannesjo/super-productivity
GitHub
GitHub - johannesjo/super-productivity: Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking…
Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, GitLab, GitHub and Open Project. - johannesjo/su...
#python #forecasting #forecasting_models #machine_learning #time_series
https://github.com/unit8co/darts
https://github.com/unit8co/darts
GitHub
GitHub - unit8co/darts: A python library for user-friendly forecasting and anomaly detection on time series.
A python library for user-friendly forecasting and anomaly detection on time series. - unit8co/darts
#cplusplus #chart #csv #dataviz #plot #px4 #qt5 #ros #rosbag #time_series #ulog
https://github.com/facontidavide/PlotJuggler
https://github.com/facontidavide/PlotJuggler
GitHub
GitHub - facontidavide/PlotJuggler: The Time Series Visualization Tool that you deserve.
The Time Series Visualization Tool that you deserve. - facontidavide/PlotJuggler
#python #deep_learning #forecasting #pytorch #self_attention #time_series
https://github.com/zhouhaoyi/Informer2020
https://github.com/zhouhaoyi/Informer2020
GitHub
GitHub - zhouhaoyi/Informer2020: The GitHub repository for the paper "Informer" accepted by AAAI 2021.
The GitHub repository for the paper "Informer" accepted by AAAI 2021. - 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
https://github.com/awslabs/gluon-ts
GitHub
GitHub - awslabs/gluonts: Probabilistic time series modeling in Python
Probabilistic time series modeling in Python. Contribute to awslabs/gluonts development by creating an account on GitHub.
#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
https://github.com/questdb/questdb
GitHub
GitHub - questdb/questdb: QuestDB is a high performance, open-source, time-series database
QuestDB is a high performance, open-source, time-series database - questdb/questdb
#jupyter_notebook #arima #econometrics #forecasting #machine_learning #python #statistics #time_series #timeseries
https://github.com/Nixtla/statsforecast
https://github.com/Nixtla/statsforecast
GitHub
GitHub - Nixtla/statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models.
Lightning ⚡️ fast forecasting with statistical and econometric models. - 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
https://github.com/khuyentran1401/Data-science
GitHub
GitHub - CodeCutTech/Data-science: Collection of useful data science topics along with articles, videos, and code
Collection of useful data science topics along with articles, videos, and code - CodeCutTech/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
https://github.com/sktime/sktime
GitHub
GitHub - sktime/sktime: A unified framework for machine learning with time series
A unified framework for machine learning with time series - 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
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
GitHub
GitHub - taosdata/TDengine: High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios - taosdata/TDengine