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Top 23 Jupyter Notebook time-series Projects
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
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Data-science
Collection of useful data science topics along with articles, videos, and code (by khuyentran1401)
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Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
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telemanom
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
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Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
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stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
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tempo
API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation (by databrickslabs)
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Econometrics-With-Python
Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.
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Time-Series-Transformer
A data preprocessing package for time series data. Design for machine learning and deep learning.
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Deep_XF
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
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dtan
Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: For deep learning practitioners in industry, is the workflow always this annoying? [D] | /r/MachineLearning | 2023-07-10This is definitely a good thing to try for time-series; you can automate your feature extraction too (eg using https://github.com/blue-yonder/tsfresh ).
Project mention: Aeon: A unified framework for machine learning with time series | news.ycombinator.com | 2023-06-22Also https://github.com/timeseriesAI/tsai
Project mention: [P] ts-tok: Time-Series Forecasting with Classification | /r/deeplearning | 2023-05-15The CustomDataset can use the datasets from here: google drive. source: https://github.com/thuml/Autoformer
I do not have a horse in the race, but it is interesting to see open source comparisons to traditional timeseries strategies: https://github.com/Nixtla/nixtla/tree/main/experiments/amazo...
In general, the M-Competitions (https://forecasters.org/resources/time-series-data/), the olympics of timeseries forecasting, have proven frustrating for ML methods... linear models do shockingly well and the ML models that have won, generally seem to be variants of older tree-based methods (ie. LightGBM is a favorite).
Will be interesting to see whether the Transformer architecture ends up making real progress here.
Project mention: Coding Wonderland: Contribute to YData Profiling and YData Synthetic in this Advent of Code | dev.to | 2023-12-05Send us your North ⭐️: "On the first day of Christmas, my true contributor gave to me..." a star in my GitHub tree! 🎵 If you love these projects too, star ydata-profiling or ydata-synthetic and let your friends know why you love it so much!
Project mention: Financial Economics: Financial Economics Models. Extended Research - star count:1033.0 | /r/algoprojects | 2023-12-10
Project mention: stock-prediction-deep-neural-learning: NEW Deep Learning And Reinforcement Learning - star count:352.0 | /r/algoprojects | 2023-08-28
Project mention: Moirai: A Time Series Foundation Model for Universal Forecasting | news.ycombinator.com | 2024-03-25Code is available! https://github.com/SalesforceAIResearch/uni2ts
Project mention: Python for Econometrics for Practitioners [Free Online Courses] | /r/CompSocial | 2023-08-24Econometrics with Python: This is a crash course for reviewing the most important concepts and techniques of econometrics. The theories are presented lightly without hustles of mathematical derivation and Python codes are mostly procedural and straightforward. Core concepts covered: multi- linear regression, logistic model, dummy variable, simultaneous equations model, panel data model and time series.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Jupyter Notebook time-series related posts
- For deep learning practitioners in industry, is the workflow always this annoying? [D]
- Auto_TS: NEW Data - star count:558.0
- Auto_TS: NEW Data - star count:558.0
- Auto_TS: NEW Data - star count:558.0
- Auto_TS: NEW Data - star count:558.0
- Auto_TS: NEW Data - star count:558.0
- [D] Incorporating external data in LSTM models for sales forecasting in e-commerce
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A note from our sponsor - WorkOS
workos.com | 25 Apr 2024
Index
What are some of the best open-source time-series projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | pycaret | 8,406 |
| 2 | tsfresh | 8,076 |
| 3 | tsai | 4,659 |
| 4 | Data-science | 3,950 |
| 5 | Autoformer | 1,712 |
| 6 | nixtla | 1,411 |
| 7 | ydata-synthetic | 1,286 |
| 8 | fecon235 | 1,088 |
| 9 | telemanom | 950 |
| 10 | Auto_TS | 673 |
| 11 | conformal-prediction | 640 |
| 12 | deltapy | 527 |
| 13 | stock-prediction-deep-neural-learning | 431 |
| 14 | uni2ts | 390 |
| 15 | TimeSynth | 326 |
| 16 | tempo | 294 |
| 17 | Econometrics-With-Python | 250 |
| 18 | Time-Series-Transformer | 191 |
| 19 | Anomaly_Detection_Tuto | 182 |
| 20 | tsdownsample | 126 |
| 21 | fnn | 118 |
| 22 | Deep_XF | 110 |
| 23 | dtan | 65 |
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