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Top 23 Jupyter Notebook time-series Projects
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InfluxDB
Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.
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tsai
Time series Timeseries Deep Learning Machine Learning Python 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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Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
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nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
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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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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Project mention: Coding Wonderland: Contribute to YData Profiling and YData Synthetic in this Advent of Code | dev.to | 2023-12-05
Send 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!
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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
Project mention: Financial Economics: Financial Economics Models. Extended Research - star count:1033.0 | /r/algoprojects | 2023-12-10 -
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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Project mention: Moirai: A Time Series Foundation Model for Universal Forecasting | news.ycombinator.com | 2024-03-25
Code is available! https://github.com/SalesforceAIResearch/uni2ts
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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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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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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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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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SaaSHub
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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 discussion
Jupyter Notebook time-series related posts
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Benchmarking foundation models for time series
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TimeGPT: Production Ready Time Series Foundation Model for Forecasting
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For deep learning practitioners in industry, is the workflow always this annoying? [D]
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Auto_TS: NEW Data - star count:558.0
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Auto_TS: NEW Data - star count:558.0
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Auto_TS: NEW Data - star count:558.0
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Auto_TS: NEW Data - star count:558.0
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A note from our sponsor - SaaSHub
www.saashub.com | 15 Sep 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 | 8,806 |
| 2 | tsfresh | 8,353 |
| 3 | tsai | 5,102 |
| 4 | Data-science | 4,029 |
| 5 | Getting-Things-Done-with-Pytorch | 2,325 |
| 6 | nixtla | 2,166 |
| 7 | Autoformer | 1,887 |
| 8 | ydata-synthetic | 1,413 |
| 9 | fecon235 | 1,094 |
| 10 | telemanom | 1,008 |
| 11 | uni2ts | 770 |
| 12 | conformal-prediction | 738 |
| 13 | Auto_TS | 722 |
| 14 | deltapy | 533 |
| 15 | stock-prediction-deep-neural-learning | 489 |
| 16 | TimeSynth | 347 |
| 17 | Econometrics-With-Python | 331 |
| 18 | tempo | 307 |
| 19 | Time-Series-Transformer | 204 |
| 20 | Anomaly_Detection_Tuto | 186 |
| 21 | tsdownsample | 146 |
| 22 | fnn | 131 |
| 23 | Deep_XF | 112 |
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