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Top 23 Jupyter Notebook time-series Projects
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Project mention: [D] Incorporating external data in LSTM models for sales forecasting in e-commerce | /r/MachineLearning | 2023-03-20
don't forget your feature engineering -> https://github.com/blue-yonder/tsfresh
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Project mention: pycaret: An open-source, low-code machine learning library in Python | /r/coolgithubprojects | 2022-09-13
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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Data-science
Collection of useful data science topics along with articles, videos, and code (by khuyentran1401)
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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
Project mention: What is the current state-of-art in sequence classification? | /r/learnmachinelearning | 2022-10-13You might be interested in tsai. I am not affiliated with them and have not used tsai, but I have been planning to try it for too long … well :p
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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
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
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Project mention: AI generated anything will be used to train AI models, since the best images/text/x typically is produced AI models will inevitably get smarter. | /r/singularity | 2023-06-06
This is also a hot topic in the Data-Centric AI Community
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SonarLint
Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
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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:915.0 | /r/algoprojects | 2023-06-06 -
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. Now updated with Dask to handle millions of rows.
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Project mention: Tutorial on conformal prediction for uncertainty quantification | /r/learnmachinelearning | 2022-09-25
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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
Project mention: stock-prediction-deep-neural-learning: NEW Deep Learning And Reinforcement Learning - star count:250.0 | /r/algoprojects | 2023-02-04 -
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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.
Project mention: Time-Series-Transformer: NEW Data - star count:153.0 | /r/algoprojects | 2023-01-14 -
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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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Project mention: CyRK – An Open-Source, Cython and Numba Based Runge-Kutta Integrator That Works With Python Functions | /r/Python | 2022-09-18
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dspytai
EVMOS blockchain Dapp that utilizes on-chain data to model potential price fluctuations in real-time from covalent api.
Welcome to DspytAI, the Uniswap powered Dapp that uses on-chain data and machine learning to predict potential price fluctuations in real-time. With our browser-based frontend, you can determine price averages for any ERC20 contract and access simple, free to use downloadable price prediction data in both text based csv format and image based png and svg formats. Unlock the future of Uniswap trading with DspytAI and track your Uniswap portfolio with confidence.
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lockdowndates
Retrieve the dates of the restrictions imposed by governments in countries around the world during the covid-19 pandemic.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Jupyter Notebook time-series related posts
- 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
- Time-Series-Transformer: NEW Data - star count:153.0
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A note from our sponsor - SonarLint
www.sonarlint.org | 6 Jun 2023
Index
What are some of the best open-source time-series projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | tsfresh | 7,392 |
2 | pycaret | 7,342 |
3 | Data-science | 3,712 |
4 | tsai | 3,519 |
5 | state-spaces | 1,194 |
6 | Autoformer | 1,123 |
7 | ydata-synthetic | 1,001 |
8 | fecon235 | 915 |
9 | telemanom | 878 |
10 | Auto_TS | 585 |
11 | deltapy | 494 |
12 | conformal-prediction | 367 |
13 | stock-prediction-deep-neural-learning | 310 |
14 | TimeSynth | 290 |
15 | tempo | 260 |
16 | Anomaly_Detection_Tuto | 176 |
17 | Time-Series-Transformer | 170 |
18 | fnn | 109 |
19 | dtan | 63 |
20 | CyRK | 8 |
21 | dspytai | 7 |
22 | lockdowndates | 5 |
23 | WeatherInterpolation | 0 |