Painless Machine Learning Library for python based on scikit-learn.
pip install plainml
from plainml import KnnModel, load_iris, train_test_split
dt = load_iris()
data = dt.data
target = dt.target
x_train, x_test, y_train, y_test = train_test_split(data, target, test_size=0.2)
model = KnnModel(x_train, y_train)
model.fit()
print(model.score(x_test, y_test))
print(model.predict([[5.1, 3.5, 1.4, 0.2]]))
model.save(file_name='iris_knn.pkl')
MIT.
sk-dist: Distributed scikit-learn meta-estimators in PySpark What is it? sk-dist is a Python package for machine learning built on top of scikit-learn
tsfeast A collection of Scikit-Learn compatible time series transformers and tools. Installation Create a virtual environment and install: From PyPi p
liquid_scikit_learn Scikit learn library models to account for data and concept drift. This python library focuses on solving data drift and concept d
Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets Datasets Used: Iris dataset,
Scikit-Pipes Scikit-Learn useful pre-defined Pipelines Hub Usage: Install scikit-pipes It's advised to install sklearn-genetic using a virtual env, in
icepickle It's a cooler way to store simple linear models. The goal of icepickle is to allow a safe way to serialize and deserialize linear scikit-lea
Master status: Development status: Package information: TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assista
Python Extreme Learning Machine (ELM) Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.
This is a salary prediction website developed with the help of machine learning, this makes prediction of salary on basis of few parameters like interview score, experience test score.
probability-density-function General info An application that calculates the probability density and cumulative distribution of a normal distribution
Repository Status for Scikit-learn Live webpage Auto updating website that tracks closed & open issues/PRs on scikit-learn/scikit-learn. Running local
**Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining.** S
Microsoft contributing libraries, tools, recipes, sample codes and workshop contents for machine learning & deep learning.
reggy Regressions with arbitrarily complex regularization terms. Currently suppo
Based on 2021 stack overflow data, this machine learning web application helps one predict the salary based on years of experience, level of education and the country they work in.
Apache SINGA Distributed deep learning system http://singa.apache.org Quick Start Installation Examples Issues JIRA tickets Code Analysis: Mailing Lis
This project has Classification and Clustering done Via kNN and K-Means respectfully. It later tests its efficiency via F1/accuracy/recall/precision for kNN and Davies-Bouldin Index for Clustering. T
Citing fastFM The library fastFM is an academic project. The time and resources spent developing fastFM are therefore justified by the number of citat
Factor graphs + nonlinear optimization in JAX
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
Machine Learning Videos This is a collection of recorded talks at machine learning conferences, workshops, seminars, summer schools, and miscellaneous
CVXPY The CVXPY documentation is at cvxpy.org. We are building a CVXPY community on Discord. Join the conversation! For issues and long-form discussio
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and many other libraries. Documenta
About Solve CTF offline disconnection problem - based on python3's small crawler, support keyword search and local map bed establishment, currently support Jianshu, xianzhi,anquanke,freebuf,seebug
Numerical-Python Numpy NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along
PyNNDescent PyNNDescent is a Python nearest neighbor descent for approximate nearest neighbors. It provides a python implementation of Nearest Neighbo
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
Anomaly Detection Toolkit (ADTK) Anomaly Detection Toolkit (ADTK) is a Python package for unsupervised / rule-based time series anomaly detection. As
Linear Models Implementations of LinearRegression, LassoRegression and RidgeRegression with appropriate Regularizers and Optimizers. Linear Regression
282 Dec 9, 2022
0 Mar 30, 2022
7 Nov 18, 2021
2 Nov 18, 2021
1 Apr 26, 2022
24 Dec 9, 2022
8.9k Jan 9, 2023
84 Nov 25, 2022
1 Feb 10, 2022
1 Oct 25, 2022
6 Dec 27, 2022
4k Dec 30, 2022
366 Jan 03, 2023
1 Jan 20, 2022
1 Jan 08, 2022
2.7k Jan 05, 2023
0 Jan 20, 2022
1k Dec 24, 2022
134 Dec 21, 2022
2 Jan 18, 2022
1.5k Dec 29, 2022
4.3k Jan 08, 2023
2.5k Jan 07, 2023
32 Oct 25, 2022
0 Mar 12, 2022
699 Jan 09, 2023
835 Dec 27, 2022
888 Dec 30, 2022
1 Nov 22, 2021