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.
Knock Knock A small library to get a notification when your training is complete or when it crashes during the process with two additional lines of co
AutoLGBM LightGBM + Optuna: no brainer auto train lightgbm directly from CSV files auto tune lightgbm using optuna auto serve best lightgbm model usin
Puesta en Producción de un modelo de aprendizaje automático con Flask y Heroku L
Machine Learning Visualization Tools A single Python file with some tools for visualizing machine learning in the terminal. This demo is composed of t
fastdtw Python implementation of FastDTW [1], which is an approximate Dynamic Time Warping (DTW) algorithm that provides optimal or near-optimal align
Nonlinear Optimization Algorithms During my time as Scientific Assistant at the Karlsruhe Institute of Technology (Germany) I implemented various Opti
Call of Duty World League: Search & Destroy Outcome Predictions Growing up as an avid Call of Duty player, I was always curious about what factors led
Apache SINGA Distributed deep learning system http://singa.apache.org Quick Start Installation Examples Issues JIRA tickets Code Analysis: Mailing Lis
COVID-19-simulation Simulation of early COVID-19 using SIR model and variants (SEIR ...). Made by the Laboratory of Sustainable Life Assessment (GYRO)
BartPy Introduction BartPy is a pure python implementation of the Bayesian additive regressions trees model of Chipman et al [1]. Reasons to use BART
To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction. The challenge aims to adress the problems of medical imbalanced data classification.
This repo is the full student code for minitorch. It is designed as a single repo that can be completed part by part following the guide book. It uses
Demand-Forecasting Business Problem A chain of stores, 10 different stores and 50 different requests a 3-month demand forecast for its product.
Description FairScale is a PyTorch extension library for high performance and large scale training on one or multiple machines/nodes. This library ext
KU AIRS: SPARK Autonomous Vehicle Project Check this link for the blog post describing this project and the video of SPARK in simulation and on parkou
Toy implementations of some popular ML optimizers using Python/JAX
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural ne
Simple but maybe too simple config management through python data classes. We use it for machine learning.
ArviZ (pronounced "AR-vees") is a Python package for exploratory analysis of Bayesian models. Includes functions for posterior analysis, data storage, model checking, comparison and diagnostics
End of maintenance for GPyOpt Dear GPyOpt community! We would like to acknowledge the obvious. The core team of GPyOpt has moved on, and over the past
2.5k Jan 07, 2023
22 Dec 15, 2022
1 Jun 03, 2022
35 Dec 29, 2022
651 Jan 04, 2023
3 Dec 06, 2022
2 Jan 18, 2022
2.7k Jan 05, 2023
1 Nov 17, 2021
187 Dec 16, 2022
1 Jan 31, 2022
1.1k Jan 07, 2023
3 Mar 06, 2022
2k Dec 28, 2022
1 Nov 23, 2021
38 Jul 29, 2022
1.6k Jan 01, 2023
67 Nov 29, 2022
1.3k Jan 05, 2023
847 Dec 19, 2022