|7 months ago||14 days ago|
|MIT License||MIT License|
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.
We haven't tracked posts mentioning Clairvoyant yet.
Tracking mentions began in Dec 2020.
Uber Releases V1.1 of Orbit: A Python Package to Perform Bayesian Time-Series Analysis and Forecasting
1 project | reddit.com/r/Python | 15 Jan 2022
prophet: NEW Data - star count:13871.0
1 project | reddit.com/r/algoprojects | 8 Jan 20221 project | reddit.com/r/algoprojects | 7 Jan 20221 project | reddit.com/r/algoprojects | 6 Jan 20221 project | reddit.com/r/algoprojects | 5 Jan 20221 project | reddit.com/r/algoprojects | 4 Jan 20221 project | reddit.com/r/algoprojects | 3 Jan 20221 project | reddit.com/r/algoprojects | 2 Jan 2022
Time series analysis of Bitcoin price in Python with fbprophet ?!
2 projects | dev.to | 22 Dec 2021
[Q] How would you forecast trend of a time series based on external regressors?
1 project | reddit.com/r/statistics | 21 Dec 2021
This could be a good use case for Facebook Prophet. I’ve been using it for a few years. Some things I love:
What are some alternatives?
tensorflow - An Open Source Machine Learning Framework for Everyone
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
scikit-learn - scikit-learn: machine learning in Python
greykite - A flexible, intuitive and fast forecasting library
MLflow - Open source platform for the machine learning lifecycle
darts - A python library for easy manipulation and forecasting of time series.
Keras - Deep Learning for humans
sktime - A unified framework for machine learning with time series
pytorch-forecasting - Time series forecasting with PyTorch
Robyn - Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.