open-metric-learning
Library for metric learning pipelines and models. (by OML-Team)
pytorch-forecasting
Time series forecasting with PyTorch (by jdb78)
| open-metric-learning | pytorch-forecasting | |
|---|---|---|
| 11 | 9 | |
| 771 | 3,635 | |
| 2.9% | - | |
| 8.6 | 8.6 | |
| 2 days ago | 6 days ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
open-metric-learning
Posts with mentions or reviews of open-metric-learning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-27.
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[P] Metric learning tutorial
I invite you to read a post / tutorial about metric learning with the usage of OpenMetricLearning.
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Computer Vision for goods recognition
And there are two good libraries with training pipelines: https://github.com/layumi/Person_reID_baseline_pytorch https://github.com/OML-Team/open-metric-learning
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Retrieval metrics: descriptions, formulas, examples and code
I'm working on OpenMetricLearning project, and we've just finished polishing the module for calculating retrieval metrics. We tried to make documentation self-sufficient, so, each metric includes text description, math formula, input-output example and source code.
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Metric learning tutorial: theory, practice, code examples
code snippets written in OpenMetricLearning (a new PyTroch-based library written by me and my comrades)
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[P] Metric learning: theory, practice, code examples
I've been hoping to look at OP's Open Metric Learning but have been using Pytorch Metric Learning.
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Open Metric Learning — a new open-source library for Metric learning!
Q: Do you have X in your library? I can't find it in the docs. A: The library is still pretty new and we actively developing it, so if you want to see something in OML, please don't hesitate to write an issue.
- Library for Metric Learning Pipelines
- We released an open-source tool for metric learning
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[P] We released a new open-source library for metric learning!
Hi everyone! My comrades have released the PyTorch-based library for representation learning named OpenMetricLearning. I kindly ask you to support them by putting a star on GitHub: https://github.com/OML-Team/open-metric-learning!
pytorch-forecasting
Posts with mentions or reviews of pytorch-forecasting.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-14.
- 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?
When comparing open-metric-learning and pytorch-forecasting you can also consider the following projects:
virtual_drawing_board - Virtual whiteboard with hand pose estimation
darts - A python library for user-friendly forecasting and anomaly detection on time series.
awesome-modular-pytorch-lightning - LightCollections⚡️: Ready-to-use implementations such as `LightningModules` for various computer vision papers.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
ast - Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Lime-For-Time - Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
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]
tslearn - The machine learning toolkit for time series analysis in Python
snntorch - Deep and online learning with spiking neural networks in Python
Informer2020 - The GitHub repository for the paper "Informer" accepted by AAAI 2021.
open-metric-learning vs virtual_drawing_board
pytorch-forecasting vs darts
open-metric-learning vs awesome-modular-pytorch-lightning
pytorch-forecasting vs Prophet
open-metric-learning vs ludwig
pytorch-forecasting vs neuralforecast
open-metric-learning vs ast
pytorch-forecasting vs Lime-For-Time
pytorch-forecasting vs pytorch-lightning
pytorch-forecasting vs tslearn
pytorch-forecasting vs snntorch
pytorch-forecasting vs Informer2020