Convoys is a simple library that fits a few statistical model useful for modeling time-lagged conversions. There is a lot more info if you head over to the documentation. You can also take a look at this blog post about Convoys.
The easiest way right now is to install the latest version from PyPI:
pip install convoys
Convoys was built by Erik Bernhardsson and has the MIT license.
xarray-einstats Stats, linear algebra and einops for xarray ⚠️ Caution: This project is still in a very early development stage Installation To instal
This library was developed in order to facilitate rapid prototyping in Python of predictive machine-learning models using longitudinal medical data from an OMOP CDM-standard database.
MosaicML Composer MosaicML Composer contains a library of methods, and ways to compose them together for more efficient ML training. We aim to ease th
Elephas: Distributed Deep Learning with Keras & Spark Elephas is an extension of Keras, which allows you to run distributed deep learning models at sc
pyGAM Generalized Additive Models in Python. Documentation Official pyGAM Documentation: Read the Docs Building interpretable models with Generalized
Auto_TS: Auto_TimeSeries Automatically build multiple Time Series models using a Single Line of Code. Now updated with Dask. Auto_timeseries is a comp
pm-prophet Pymc3-based universal time series prediction and decomposition library (inspired by Facebook Prophet). However, while Faceook prophet is a
Microsoft Machine Learning for Apache Spark MMLSpark is an ecosystem of tools aimed towards expanding the distributed computing framework Apache Spark
Machine learning algorithms implementation This repository consisits of implementation of various machine learning algorithms. The algorithms implemen
A machine learning project that predicted binding sites of AP1 transcription factor, using ChIP-Seq data and local DNA shape information.
dirty_cat dirty_cat is a Python module for machine-learning on dirty categorical variables.
Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning My
Spark Python Notebooks This is a collection of IPython notebook/Jupyter notebooks intended to train the reader on different Apache Spark concepts, fro
climin climin is a Python package for optimization, heavily biased to machine learning scenarios distributed under the BSD 3-clause license. It works
Hackerank-Nested-List Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any s
To design and implement the Identification of Iris Flower species using machine learning using Python and the tool Scikit-Learn.
Predico Disease Prediction system based on symptoms provided by patient- using Python-Django & Machine Learning
stacked_generalization Implemented machine learning *stacking technic[1]* as handy library in Python. Feature weighted linear stacking is also availab
EmeraldML A machine learning library for streamlining the process of (1) cleaning and splitting data, (2) training, optimizing, and testing various mo
Factor graphs + nonlinear optimization in JAX
30 Dec 28, 2022
75 Jan 03, 2023
2.8k Jan 06, 2023
1.6k Dec 29, 2022
747 Jan 05, 2023
519 Jan 03, 2023
314 Dec 25, 2022
3.9k Dec 30, 2022
1 Jan 03, 2022
1 Jan 21, 2022
637 Dec 29, 2022
3 Apr 10, 2022
1.5k Jan 02, 2023
177 Sep 02, 2022
2 Dec 14, 2021
1 Jan 11, 2022
1 Jan 06, 2022
114 Jul 19, 2022
0 Dec 06, 2021
134 Dec 21, 2022