Get started with a tutorial on Google Colab:
To cite this repository:
@software{jaxbo2020github,
author = {Paris Perdikaris},
title = {{JAX-BO}: A Bayesian optimization library in {JAX}},
url = {https://github.com/PredictiveIntelligenceLab/JAX-BO},
version = {0.2},
year = {2020},
}
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
pywFM pywFM is a Python wrapper for Steffen Rendle's libFM. libFM is a Factorization Machine library: Factorization machines (FM) are a generic approa
seqlearn seqlearn is a sequence classification toolkit for Python. It is designed to extend scikit-learn and offer as similar as possible an API. Comp
Katana project is a FastAPI template for ASAP 🚀 ML API deployment
MooGBT is a library for Multi-objective optimization in Gradient Boosted Trees. MooGBT optimizes for multiple objectives by defining constraints on sub-objective(s) along with a primary objective. Th
Hover Example Apps (works out-of-the-box on Binder) This repository demonstrates the usage of hover to understand and supervise a machine learning tas
ETNA is an easy-to-use time series forecasting framework. It includes built in toolkits for time series preprocessing, feature generation, a variety of predictive models with unified interface - from
Getting started smltk (Simple Machine Learning Tool Kit) package is implemented for helping your work during data preparation testing your model The g
Generator of Rad Names from Decent Paper Acronyms
cleanlab is the data-centric ML ops package for machine learning with noisy labels. cleanlab cleans labels and supports finding, quantifying, and lear
Typilus: Suggest Python Type Annotations A GitHub action that suggests type annotations for Python using machine learning. This action makes suggestio
Bottleneck Bottleneck is a collection of fast, NaN-aware NumPy array functions written in C. As one example, to check if a np.array has any NaNs using
QML is a Python2/3-compatible toolkit for representation learning of properties of molecules and solids.
K Nearest Neighbors (KNN) algorithm In this Machine Learning world, there are various algorithms designed for classification problems such as Logistic
formulae formulae is a Python library that implements Wilkinson's formulas for mixed-effects models. The main difference with other implementations li
This is the material used in my free Persian course: Machine Learning with Python
Sparkit-learn PySpark + Scikit-learn = Sparkit-learn GitHub: https://github.com/lensacom/sparkit-learn About Sparkit-learn aims to provide scikit-lear
PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. We provide scripts for downloading, processing, and loading the
Little Ball of Fur is a graph sampling extension library for Python. Please look at the Documentation, relevant Paper, Promo video and External Resour
Nixtla Nixtla is an open-source time series forecasting library. We are helping data scientists and developers to have access to open source state-of-
1.1k Jan 07, 2023
251 Sep 23, 2022
653 Dec 27, 2022
100 Dec 26, 2022
66 Dec 06, 2022
43 Dec 03, 2021
674 Jan 07, 2023
1 Dec 30, 2021
264 Nov 08, 2022
51 Nov 28, 2022
40 Sep 18, 2022
835 Dec 27, 2022
176 Dec 09, 2022
1 Jan 08, 2022
34 Dec 21, 2022
4 Aug 07, 2022
1.1k Jan 04, 2023
76 Nov 25, 2022
619 Dec 14, 2022
401 Jan 08, 2023