418 Open source projects that are alternatives of or similar to Metric Learn

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

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

Open Machine Learning Course

Predicting Future Influenza Virus Sequences with Machine Learning

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

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

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

Simple implementation of sar target recognition using machine learning methods

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

Alpine Container for Machine Learning

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

https://www.kaggle.com/c/humpback-whale-identification

notebooks with example for machine learning examples

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

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Using python and scikit-learn to make stock predictions

Computer vision sabbatical study materials

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

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

scikit-learn机器学习库中文文档翻译项目

Predicting forex binary options using time series data and machine learning

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

(Deprecated) Scikit-learn integration package for Apache Spark

Automated Machine Learning with scikit-learn

🧙 A web app to generate template code for machine learning

100 Days of ML Coding

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

For extensive instructor led learning

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

Code for polyaxon tutorials and examples

Association Rule Mining from Spatial Data for Crime Analysis

Automatic paper clustering and search tool by fastext from Facebook Research

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

Carefully curated resource links for data science in one place

model-describer : Making machine learning interpretable to humans

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

AsyncIO serving for data science models

PySpark + Scikit-learn = Sparkit-learn

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

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

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

🎓 Jupyter notebooks from UFC data science course

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

An Interactive Approach to Understanding Deep Learning with Keras

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

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

Samples and Tools for Windows ML.

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

An open source python library for automated feature engineering

Parallel computing with task scheduling

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

brief introduction to Python for machine learning

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

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.

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

The first fully convolutional metric learning for geometric/semantic image correspondences.

A series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills

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

Simple chatbot in Python using NLTK and scikit-learn