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

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.

(Deprecated) Scikit-learn integration package for Apache Spark

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）

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

A library for machine learning research on motion capture data

notebooks with example for machine learning examples

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

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

✋ Recognizing "Hand Gestures" using OpenCV and Python.

Computer vision sabbatical study materials

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

Open Machine Learning Course

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

Predicting forex binary options using time series data and machine learning

Credit Risk analysis by using Python and ML

Alpine Container for Machine Learning

Machine Learning for High Energy Physics.

🧙 A web app to generate template code for machine learning

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

Simple chatbot in Python using NLTK and scikit-learn

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

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

MLeap: Deploy ML Pipelines to Production

Predicting Future Influenza Virus Sequences with Machine Learning

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

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

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

Genetic Programming in Python, with a scikit-learn inspired API

scikit-learn compatible implementation of stability selection.

Using python and scikit-learn to make stock predictions

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

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

Code, Notebooks and Examples from Practical Business Python

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

Introduction to Statistical Learning with R을 Python으로

The "Python Machine Learning (2nd edition)" book code repository and info resource

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

A curated list of project tutorials for project-based learning.

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

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Python机器学习，机器学习入门首选。

A scikit-learn based module for multi-label et. al. classification

A modular active learning framework for Python

Automated Machine Learning with scikit-learn

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

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

Metric learning algorithms in Python

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Open standard for machine learning interoperability

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

🎓 Jupyter notebooks from UFC data science course

scikit-learn cross validators for iterative stratification of multilabel data

Python for chemoinformatics

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

📚 Various cheatsheets in PDF

Machine Learning inference engine for Microcontrollers and Embedded devices

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Python Cheat Sheet NumPy, Matplotlib

sources for daal4py - a convenient Python API to oneDAL

Code for polyaxon tutorials and examples