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

Python Machine Learning Zh ⭐ 115

Python机器学习，机器学习入门首选。

Hands On Machine Learning With Scikit Learn And Scientific Python Toolkits ⭐ 112

The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr

Poniard ⭐ 111

Streamline scikit-learn model comparison.

Pyimpute ⭐ 111

Spatial classification and regression using Scikit-learn and Rasterio

Ds_and_ml_projects ⭐ 110

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

Ml Email Clustering ⭐ 109

Email clustering with machine learning

Ciencia De Dados ⭐ 106

Disciplina de Ciências de Dados da UNINOVE

How To Score 0.8134 In Titanic Kaggle Challenge ⭐ 105

Solution of the Titanic Kaggle competition

Scitime ⭐ 105

Training time estimation for scikit-learn algorithms

Pandas_dq ⭐ 101

Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.

Scikit Activeml ⭐ 101

Our package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.

Neuropredict ⭐ 99

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

Gesture Recognition ⭐ 98

✋ Recognizing "Hand Gestures" using OpenCV and Python.

PyMilo: Python for ML I/O

A repository for recording the machine learning code

MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle

30 Days Of Ml Kaggle ⭐ 93

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

Facial Expression Recognition Svm ⭐ 91

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

Speculator ⭐ 90

API for predicting the next Bitcoin and Ethereum with machine learning and technical analysis

Pymc Example Project ⭐ 87

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

Mindwave ⭐ 86

MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.

Hyperimpute ⭐ 85

A framework for prototyping and benchmarking imputation methods

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Comparing Trajectory Clustering Methods ⭐ 84

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

Sentimentapi ⭐ 83

A fast python scikit-learn text sentiment API server.

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

Practicalmachinelearning ⭐ 79

A curated collection of machine learning resources, including notebooks, code, and books, all of which are either free or open-source

Python Machine Learning ⭐ 78

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.

Docker Alpine Python Machinelearning ⭐ 78

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

EC-KitY is a scikit-learn-compatible Python tool kit for doing evolutionary computation.

Sklearn Pmml Model ⭐ 75

A library to parse and convert PMML models into Scikit-learn estimators.

Softtriple ⭐ 75

PyTorch Implementation for SoftTriple Loss

Docker Python Deep Learning ⭐ 74

A container for Deep Learning with Python 3

Scikit-learn compatible Locality Preserving Projections in Python

🦅Hyperparameter optimization for machine learning pipelines 🦅

Credit Risk Modelling ⭐ 71

Credit Risk analysis by using Python and ML

Skorecard ⭐ 71

scikit-learn compatible tools for building credit risk acceptance models

Datawranglingpy ⭐ 70

Minimalist Data Wrangling with Python (Open-Access Textbook)

Pytorch Fitmodule ⭐ 70

Super simple fit method for PyTorch Modules

Topometry ⭐ 69

Systematically learn and evaluate manifolds from high-dimensional data

Hands On Ml ⭐ 69

Hands-On Machine Learning

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

Complete Conjugation of any Verb(e) in Catalan, French, Italian, Portuguese, Romanian or Spanish and conjugate unknown verbs using Machine Learning

Sklearn Audio Transfer Learning ⭐ 67

A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn

Pydata Nyc 2014 ⭐ 66

Pydata NYC 2014 Scikit Learn Tutorial

Mlinsights ⭐ 65

Extends scikit-learn with new models, transformers, metrics, plotting.

Polyaxon Examples ⭐ 65

Code for tutorials and examples

Predict materials properties using only the composition information!

Website Fingerprinting ⭐ 63

Deanonymizing Tor or VPN users with website fingerprinting and machine learning.

A Python package to facilitate research on building and evaluating automated scoring models.

Frovedis ⭐ 62

Framework of vectorized and distributed data analytics

REST API (and possible UI) for Machine Learning workflows

Do It Dl ⭐ 61

<Do it! 딥러닝 입문> 도서의 주피터 노트북

Deploy Machine Learning Model ⭐ 61

Dockerize and deploy machine learning model as REST API using Flask

Freediscovery ⭐ 60

Web Service for E-Discovery Analytics

Hypertune ⭐ 60

A library for performing hyperparameter optimization

Imodelsx ⭐ 60

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

Automatic segmentation of electron microscopy volumes

Social_media_brand_disambiguator ⭐ 58

Brand disambiguator for tweets to differentiate e.g. Orange vs orange (brand vs foodstuff), using NLTK and scikit-learn

Stock Prediction ⭐ 57

Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

A stacked generalization framework. Built on top of scikit learn

Kaggle Pycon 2015 ⭐ 56

Solution code from my winning submission to Kaggle's PyCon 2015 competition

Scikit Mine ⭐ 56

scikit-mine : pattern mining in Python

A Detector ⭐ 56

⭐ An anomaly-based intrusion detection system.

Nba Search ⭐ 56

flask application designed to explore NBA data 🏀

⭕️ Building Recommendation Engines in Python

Hyperparameter optimization with approximate gradient

This is the official implementation for the paper 'AutoEncoder by Forest'

Mlprodict ⭐ 55

Productionize machine learning predictions, with ONNX or without

Iterative Random Forest ⭐ 55

Python implementation of iterative-random-forests

Ray_tutorial ⭐ 55

An introductory tutorial about leveraging Ray core features for distributed patterns.

Machine Learning In Python Workshop ⭐ 54

My workshop on machine learning using python language to implement different algorithms

Python Machine Learning Book 2nd Edition ⭐ 54

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

Model Deployment Flask ⭐ 54

'Deploying machine learning models with a Flask API' tutorial, written for HyperionDev

Fuzzy machine learning algorithms implementing the scikit-learn interface.

Label_propagation ⭐ 54

Implementations of label propagation like algorithms

Py4chemoinformatics ⭐ 53

Python for chemoinformatics

A collection of online books for data science, computer science and coding!

Machine Learning_zero To Hero ⭐ 53

Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engines and more, this Python-based repository provides a comprehensive guide for mastering ML.

Word2vec Movies ⭐ 53

Bag of words meets bags of popcorn in Python 3 中文教程

Sklearn Xarray ⭐ 52

Metadata-aware machine learning.

Scikit Tree ⭐ 51

Scikit-learn compatible decision trees beyond those offered in scikit-learn

Pandas Adapters For Scikit-Learn

Geochemistrypi ⭐ 49

an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery

Numer.ai ⭐ 49

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.

The Hello World Of Machine Learning ⭐ 48

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

Enhancement_proposals ⭐ 48

Enhancement proposals for scikit-learn: structured discussions and rational for large additions and modifications

Human Activity Recognition Using Recurrent Neural Nets Rnn Lstm And Tensorflow On Smartphones ⭐ 46

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to

Nba Predict ⭐ 46

Predicts Daily NBA Games Using a Logistic Regression Model

Cheatsheets ⭐ 46

Evolving Cheatsheets for computer languages/software/OS like Python, Numpy, Pandas, Java, Linux, Terminal, Gentoo

Algorithmic Trading ⭐ 46

Algorithmic trading using machine learning.

Scikit Hyperband ⭐ 46

A scikit-learn compatible implementation of hyperband

Scikit Learn Tutorial ⭐ 45

Applied Machine Learning in Python with scikit-learn

A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.

Cvpr_paper_search_tool ⭐ 45

Automatic paper clustering and search tool by fastext from Facebook Research

Autotabular ⭐ 45

Automatic machine learning for tabular data. ⚡🔥⚡

Django Estimators ⭐ 44

a django app to persist and retrieve scikit learn machine learning models

Sklearn Cookbook Zh ⭐ 44

📖 [译] Scikit-learn 秘籍

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