pytorch-forecasting
symmetric-ds
pytorch-forecasting | symmetric-ds | |
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9 | 12 | |
3,625 | 693 | |
- | 1.2% | |
8.6 | 9.5 | |
1 day ago | 1 day ago | |
Python | Java | |
MIT License | - |
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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
symmetric-ds
- FLaNK Stack Weekly for 14 Aug 2023
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SymmetricDS: Open-Source, cross platform database replication software
For those interested in the source, here is the GitHub repo: https://github.com/JumpMind/symmetric-ds
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How do I add database replication across different servers to my Docker Compose deployment without using different Docker files on each server?
I’m not a database guy, but maybe look at symmetricds. Also at https://hub.docker.com/r/jumpmind/symmetricds.
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Seamless integration of Databases
There are several CDC (change data capture) solutions on the market. I've used https://www.symmetricds.org quite successfully in the past.
- Dockerfile for jumpmind image
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How do you "ship out" web-based systems na isang establishment lang gagamit?
And then using https://www.symmetricds.org/ with mongodb
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migrate giant 17TB DB from mariadb10.4 to MySQL 8
Use replication. https://www.symmetricds.org/
- [AMA] We are the developers of SymmetricDS, a FOSS database synchronization project. Ask us anything
- SymmetricDS: Fast and Flexible Database Replication
- SymmetricDS: Database Synchronisation Solution
What are some alternatives?
darts - A python library for user-friendly forecasting and anomaly detection on time series.
Flyway - Flyway by Redgate • Database Migrations Made Easy.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
walrus - Applying RLS to PostgreSQL WAL
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
pglogical - Logical Replication extension for PostgreSQL 15, 14, 13, 12, 11, 10, 9.6, 9.5, 9.4 (Postgres), providing much faster replication than Slony, Bucardo or Londiste, as well as cross-version upgrades.
Lime-For-Time - Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
obevo - Obevo is a database deployment tool that handles enterprise scale schemas and complexity
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]
LINQ to DB - Linq to database provider.
tslearn - The machine learning toolkit for time series analysis in Python
scalardb - Universal transaction manager