Machine-Learning with python (jupyter)

Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models. Feature-engine's transformers follow scikit-learn's functionality wit

33 Dec 27, 2022

Convoys is a simple library that fits a few statistical model useful for modeling time-lagged conversions.

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

240 Dec 26, 2022

Simple data balancing baselines for worst-group-accuracy benchmarks.

BalancingGroups Code to replicate the experimental results from Simple data balancing baselines achieve competitive worst-group-accuracy. Replicating

29 Dec 02, 2022

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. 10x Larger Models 10x Faster Trainin

8.4k Dec 30, 2022

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

Little Ball of Fur is a graph sampling extension library for Python. Please look at the Documentation, relevant Paper, Promo video and External Resour

619 Dec 14, 2022

Estudos e projetos feitos com PySpark.

PySpark (Spark com Python) PySpark é uma biblioteca Spark escrita em Python, e seu objetivo é permitir a análise interativa dos dados em um ambiente d

54 Nov 06, 2022

MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions.

Using python and scikit-learn to make stock predictions

1.3k Jan 03, 2023

using Machine Learning Algorithm to classification AppleStore application

AppleStore-classification-with-Machine-learning-Algo- using Machine Learning Algorithm to classification AppleStore application. the first step : 1: p

2 May 02, 2022

A machine learning model for Covid case prediction

CovidcasePrediction A machine learning model for Covid case prediction Problem Statement Using regression algorithms we can able to track the active c

1 Feb 02, 2022

Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark environment.

pyspark-anonymizer Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark envir

6 Jun 30, 2022

Python-based implementations of algorithms for learning on imbalanced data.

ND DIAL: Imbalanced Algorithms Minimalist Python-based implementations of algorithms for imbalanced learning. Includes deep and representational learn

220 Dec 13, 2022

A comprehensive repository containing 30+ notebooks on learning machine learning!

3.8k Jan 09, 2023

Lightning ⚡️ fast forecasting with statistical and econometric models.

Nixtla Statistical ⚡️ Forecast Lightning fast forecasting with statistical and econometric models StatsForecast offers a collection of widely used uni

2.1k Dec 29, 2022

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

Petastorm Contents Petastorm Installation Generating a dataset Plain Python API Tensorflow API Pytorch API Spark Dataset Converter API Analyzing petas

1.6k Dec 31, 2022

Machine-Learning with python (jupyter)

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Machine-Learning with python (jupyter)

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HyeonWoo Jeong

Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models.

Convoys is a simple library that fits a few statistical model useful for modeling time-lagged conversions.

Simple data balancing baselines for worst-group-accuracy benchmarks.

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

Estudos e projetos feitos com PySpark.

MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions.

using Machine Learning Algorithm to classification AppleStore application

A machine learning model for Covid case prediction

Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark environment.

Python-based implementations of algorithms for learning on imbalanced data.

A comprehensive repository containing 30+ notebooks on learning machine learning!

Lightning ⚡️ fast forecasting with statistical and econometric models.

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

A toolkit for making real world machine learning and data analysis applications in C++

Turning images into '9-pan' palettes using KMeans clustering from sklearn.

Pytools is an open source library containing general machine learning and visualisation utilities for reuse

Library for machine learning stacking generalization.

Graphsignal is a machine learning model monitoring platform.

Titanic Traveller Survivability Prediction