The Top 60 Sklearn Open Source Projects

Awesome Open Source

Awesome Open Source

Combined Topics

The Top 60 Sklearn Open Source Projects

Categories > Machine Learning > Sklearn

Ailearning ⭐28,000

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

Tutorials ⭐8,638

机器学习相关教程

Hands On Ml Zh ⭐3,446

📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

a delightful machine learning tool that allows you to train, test and use models without writing code

Ai Chatbot Framework ⭐1,404

A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

Aws Machine Learning University Accelerated Nlp ⭐1,393

Machine Learning University: Accelerated Natural Language Processing Class

My Journey In The Data Science World ⭐1,175

📢 Ready to learn or review your knowledge!

Karateclub ⭐1,043

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

Lambda Packs ⭐981

Precompiled packages for AWS Lambda

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

Sklearn Porter ⭐930

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

Datastream.io ⭐794

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Machinelearningstocks ⭐790

Using python and scikit-learn to make stock predictions

Kfserving ⭐676

Serverless Inferencing on Kubernetes

Aws Machine Learning University Accelerated Tab ⭐661

Machine Learning University: Accelerated Tabular Data Class

Hyperparameter_hunter ⭐630

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

Hungabunga ⭐604

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

Sklearn Classification ⭐481

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

Ai_competitions ⭐419

AI比赛相关信息汇总

Cryptocurrencyprediction ⭐414

Predict Cryptocurrency Price with Deep Learning

Graphwaveletneuralnetwork ⭐365

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

The Elements Of Statistical Learning Python Notebooks ⭐365

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

Daily Stock Forecast ⭐336

Daily Stock Forecasts using Machine Learning & Python

Profanity Check ⭐333

A fast, robust Python library to check for offensive language in strings.

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Sklearn Evaluation ⭐285

scikit-learn model evaluation made easy: plots, tables and markdown reports.

Machine Learning For Beginner By Python3 ⭐285

为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。

Textmining ⭐265

Python文本挖掘系统 Research of Text Mining System

Attentionwalk ⭐257

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Machine Learning ⭐207

从零基础开始机器学习之旅

Data Science Notebook ⭐190

📖 每一个伟大的思想和行动都有一个微不足道的开始

Tensorflow Ml Nlp ⭐163

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Python Ai Assistant ⭐161

Python AI assistant 🧠

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

Fenchel Young Losses ⭐149

Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses

Mlmodels ⭐144

mlmodels : Machine Learning and Deep Learning Model ZOO for Pytorch, Tensorflow, Keras, Gluon models...

Data Analysis ⭐134

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Ml Cheatsheet ⭐131

A constantly updated python machine learning cheatsheet

Qlik Py Tools ⭐130

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

Ds Ai Tech Notes ⭐123

📖 [译] 数据科学和人工智能技术笔记

Role2vec ⭐119

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

Python Flask Sklearn Docker Template ⭐116

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

Emotion Recognition Using Speech ⭐111

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

House Price Prediction ⭐106

房价预测完整项目：1.爬取链家网数据 2.处理后，用sklearn中几个逻辑回归机器学习模型和keras神经网络搭建模型预测房价最终结果神经网络效果更好，R^2值0.75左右

Facial Expression Recognition Svm ⭐104

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

Supervised domain-agnostic prediction framework for probabilistic modelling

machine learning web app game where the user competes against the AI in picking stocks

Machinelearningalgorithm ⭐84

一些常用的机器学习算法实现

A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]

A repository for recording the machine learning code

Mlatimperial2017 ⭐70

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

Facial Recognition Python Django ⭐67

Face detection and facial recognition along with recognized persons information fetched from database.

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

How To Mine Newsfeed Data And Extract Interactive Insights In Python ⭐58

A practical guide to topic mining and interactive visualizations

Open Solution Value Prediction ⭐34

Open solution to the Santander Value Prediction Challenge 🐠

Machine Learning ⭐30

Machine learning for Project Cognoma

a package for versioning, automatization and analysis of machine learning development

Breast Cancer Prediction ⭐18

Predicting the probability that a diagnosed breast cancer case is malignant or benign based on Wisconsin dataset

Computer Vision Action ⭐18

computer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...

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