Jailer
pytorch-forecasting
| Jailer | pytorch-forecasting | |
|---|---|---|
| 218 | 9 | |
| 2,707 | 3,625 | |
| - | - | |
| 9.6 | 8.6 | |
| 5 days ago | 3 days ago | |
| Java | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Jailer
- Jailer – open-source database client
- Show HN: Jailer is a unique open-source database client tool
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DBeaver – open-source Database client
Some other tools I have also enjoyed:
DBVisualizer: https://www.dbvis.com/ (for exploring the schema)
Jailer: https://wisser.github.io/Jailer/ (for data browsing)
Aside from that, it's usually just been a mix of using specialized tools like MySQL Workbench, SQL Developer, pgAdmin and others, or something that tries to do it all like DataGrip.
Didn't actually find anything particularly amazing about DataGrip, but if I'm paying for the JetBrains Ultimate subscription, might as well use it because it's pretty okay.
- Database browsing tool with sophisticated and animated Java Swing UI
- Jailer is a unique open-source database client tool
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Why people care about PostGIS and Postgres
I also found DBeaver to be a huge improvement over tools I used earlier.
Recently I discovered Jailer which makes it very easy to navigate complex relational structures: https://github.com/Wisser/Jailer
- Jailer, a unique open-source database tool
- Jailer is a unique open-source database tool
- FLaNK Stack Weekly for 14 Aug 2023
- UniversalProblemSolver
pytorch-forecasting
- FLaNK Stack Weekly for 14 Aug 2023
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Pytorch Lstm
Source: Conversation with Bing, 4/5/2023 (1) jdb78/pytorch-forecasting: Time series forecasting with PyTorch - GitHub. https://github.com/jdb78/pytorch-forecasting. (2) Time Series Prediction with LSTM Using PyTorch - Colaboratory. https://colab.research.google.com/github/dlmacedo/starter-academic/blob/master/content/courses/deeplearning/notebooks/pytorch/Time_Series_Prediction_with_LSTM_Using_PyTorch.ipynb. (3) time-series-classification · GitHub Topics · GitHub. https://github.com/topics/time-series-classification. (4) PyTorch: Dataloader for time series task - Stack Overflow. https://stackoverflow.com/questions/57893415/pytorch-dataloader-for-time-series-task.
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[D] What is the best approach to create embeddings for time series with additional historical events to use with Transformers model?
Temporal fusion transformer https://github.com/jdb78/pytorch-forecasting
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LSTM/CNN architectures for time series forecasting[Discussion]
Pytorch-forecasting
- Can someone help me with this? It's been days that i struggle with this problem, Forecasting w DeepAR
- Can someone help me with this? it's been days that i struggle with this problem
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[P] Beware of false (FB-)Prophets: Introducing the fastest implementation of auto ARIMA [ever].
To name a few: https://github.com/jdb78/pytorch-forecasting, https://github.com/unit8co/darts, https://github.com/Nixtla/neuralforecast
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When to go for an 'easy' time-series model vs. using a complex deep learning model (when having experience with the latter)
I'm a data trainee at this organisation. I wrote my master thesis about using an event clustering mechanism to enrich an existing dataset to improve short-term demand predictions, using Pytorch Forecasting using the temporal fusion transformer component, and LightGBM (and compare the models with and w/o the event feature, so 4 runs in total).
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A python library for easy manipulation and forecasting of time series.
Darts is a pretty nice one. I've recently been using pytorch-forecasting for larger models like the Temporal Fusion Transformer. https://github.com/jdb78/pytorch-forecasting
What are some alternatives?
dbgate - Database manager for MySQL, PostgreSQL, SQL Server, MongoDB, SQLite and others. Runs under Windows, Linux, Mac or as web application
darts - A python library for user-friendly forecasting and anomaly detection on time series.
Replibyte - Seed your development database with real data ⚡️
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
beekeeper-studio - Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
Ebean ORM - Ebean ORM
Lime-For-Time - Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
H2 - H2 is an embeddable RDBMS written in Java.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
presto - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io) [Moved to: https://github.com/trinodb/trino]
tslearn - The machine learning toolkit for time series analysis in Python