354 Open source projects that are alternatives of or similar to Pymc Learn

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

A repository for recording the machine learning code

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

A python library for decision tree visualization and model interpretation.

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

JARVIS-Tools: an open-source software package for data-driven atomistic materials design

An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn

A collection of Machine Learning algorithms written from sctrach.

A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

Carefully curated resource links for data science in one place

IPython widgets, interactive plots, interactive machine learning

Jun 2020 scikit-learn sprint

Interactive SVM Explorer, using Dash and scikit-learn

Easy and comprehensive assessment of predictive power, with support for neuroimaging features

Machine learning with scikit-learn tutorial at PyData Chicago 2016

🤖⚡️ scikit-learn tips

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Start writing machine learning code in just 10 hours

[UNMAINTAINED] Automated machine learning for analytics & production

Disease Prediction based on Symptoms.

Predicting Forex Future Price with Machine Learning

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Email clustering with machine learning

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

A library for machine learning research on motion capture data

A collection of all projects pertaining to different layers in the SDC software stack

✋ Recognizing "Hand Gestures" using OpenCV and Python.

📓 Long(er) text representation and classification using Doc2Vec embeddings

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

Credit Risk analysis by using Python and ML

Machine Learning for High Energy Physics.

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

MLeap: Deploy ML Pipelines to Production

Nyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

scikit-learn compatible implementation of stability selection.

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Code, Notebooks and Examples from Practical Business Python

Introduction to Statistical Learning with R을 Python으로

The "Python Machine Learning (1st edition)" book code repository and info resource

Materials for the course of machine learning at Imperial College organized by Yandex SDA

Python机器学习，机器学习入门首选。

A modular active learning framework for Python

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Metric learning algorithms in Python

Open standard for machine learning interoperability

🎓 Jupyter notebooks from UFC data science course

Python for chemoinformatics

General Assembly's 2015 Data Science course in Washington, DC

📚 Various cheatsheets in PDF

Machine Learning inference engine for Microcontrollers and Embedded devices

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Python Cheat Sheet NumPy, Matplotlib

sources for daal4py - a convenient Python API to oneDAL