866 Open source projects that are alternatives of or similar to The-Purchase-and-Redemption-Forecast-Challenge-baseline

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

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TSrepr: R package for time series representations

Open solution to the Toxic Comment Classification Challenge

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RNN based Time-series Anomaly detector model implemented in Pytorch.

Predict time-series with one line of code.

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List of papers, code and experiments using deep learning for time series forecasting

List of tools & datasets for anomaly detection on time-series data.

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Probably the best curated list of data science books in Python

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midasml package is dedicated to run predictive high-dimensional mixed data sampling models

The objective of this Burp Suite extension is the flexible and dynamic extraction, correlation, and structured presentation of information from the Burp Suite project as well as the flexible and dynamic on-the-fly modification of outgoing or incoming HTTP requests using Python scripts. Thus, Turbo Data Miner shall aid in gaining a better and fas…

📚 social networks from novels

Contains solutions and codes to various online competitive programming challenges and some good problems. The links to the problem sets are specified at the beginning of each code.

[archived]

No description or website provided.

gosquito ("go" + "mosquito") is a pluggable tool for data gathering, data processing and data transmitting to various destinations.

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

Serving a keras model (neural networks) in a website with the python Django-REST framework.

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

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An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

Software for prediction of plasmid sequences in metagenomic assemblies

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heidi : tidy data in Haskell

My GitHub blog: things you might be interested, and probably not...

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Synthetic Data Generation for mixed-type, multivariate time series.

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A Python Package For System Identification Using NARMAX Models

An overview of univariate time series forecasting models with sample code.

Shiny app for Price Optimization using prophet and lme4 libraries for R.

At present contains scraped data from around 1500 problems present on the site. More to follow....

Creating a model to analyze and predict the trend of the prices of gold.

Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).

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Using LSTM network for time series forecasting

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Example CNN on CIFAR-10 classification

Scalable machine 🤖 learning for time series forecasting.

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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

A module for allowing the use of multiple metric functions in scikit's cross_val_score

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Poor man's time series functionality for PostgreSQL

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