419 Open source projects that are alternatives of or similar to Mstar_with_machine_learning

scikit-learn机器学习库中文文档翻译项目

Automated Machine Learning with scikit-learn

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

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

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

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

A collection of notebooks of my Machine Learning class written in python 3

A graph-based functional API for building complex scikit-learn pipelines.

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

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

A machine learning package for streaming data in Python. The other ancestor of River.

brief introduction to Python for machine learning

实时风控引擎(Risk Engine)，自定义规则引擎（Rule Script），完美支持中文，适用于反欺诈(Anti-fraud)应用场景，开箱即用！！！移动互联网时代的风险管理利器，你 Get 到了吗？

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

Samples and Tools for Windows ML.

100 Days of ML Coding

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

For extensive instructor led learning

Some old C++ code I developed while at MIT. Could be useful if you have an old radar lying around.

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

An Interactive Approach to Understanding Deep Learning with Keras

Survival analysis built on top of scikit-learn

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

AsyncIO serving for data science models

Framework for setting up predictive analytics services

Alpine Container for Machine Learning

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

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

Probably the best curated list of data science software in Python.

🧙 A web app to generate template code for machine learning

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

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

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

Simple chatbot in Python using NLTK and scikit-learn

A macOS app for submitting radars

Computer vision sabbatical study materials

An open source python library for automated feature engineering

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

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

(Deprecated) Scikit-learn integration package for Apache Spark

My blogs and code for machine learning. http://cnblogs.com/pinard

Predicting Future Influenza Virus Sequences with Machine Learning

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

Open Machine Learning Course

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

Association Rule Mining from Spatial Data for Crime Analysis

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

notebooks with example for machine learning examples

scikit-learn cross validators for iterative stratification of multilabel data

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

Predicting forex binary options using time series data and machine learning

model-describer : Making machine learning interpretable to humans

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

Automatic paper clustering and search tool by fastext from Facebook Research

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Using python and scikit-learn to make stock predictions