Top 125 sklearn open source projects

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

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

Daily Stock Forecasts using Machine Learning & Python

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。

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Python文本挖掘系统 Research of Text Mining System

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

No description or website provided.

Docker Start Guide with Python Development Environment

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

A Carpentry style lesson on machine learning with Python and scikit-learn.

使用sklearn做特征工程

Kai Sheng Teh - Udacity Data Analyst Nanodegree

DataHub - Synthetic data library

a solution for competition of kaggle `Human or Robot`

机器学习数据，预测趋势并画图

SciKIt-learn Pipeline in PAndas

simple tutorial on Machine Learning with Scikitlearn

Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

Stock predictor using Machine Learning

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

به فارسی، برای مشارکت scikit-learn

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

demonstrating use of convolution neural networks to detect objects in a video

A python program that implements Aspect Based Sentiment Analysis classification system for SemEval 2016 Dataset.

Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec from this paper https://arxiv.org/abs/1605.02019

A Streamlit application to play with machine learning models directly from the browser

Time Series Decomposition techniques and random forest algorithm on sales data

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

Serverless Inferencing on Kubernetes

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

Universal 1d/2d data containers with Transformers functionality for data analysis.

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles

CS 7641 - All the code

A list of data mining and machine learning papers that I implemented in 2019.

Emotiw2017 code

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

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

Basis expansion transformers in sklearn style.

Exemplary, annotated machine learning pipeline for any tabular data problem.

A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi

sciblox - Easier Data Science and Machine Learning

A python 3 implementation of decision tree (machine learning classification algorithm) from scratch

Python library for custom entity recognition using Sklearn CRF

A SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.

Dummy variable generation with fit/transform capabilities

An automatic machine learning system

The repository host the API for the ML model via FastAPI, Flask and contains android app development files using KivyMD.

Topic modelling on financial news with Natural Language Processing

Repository for a data science starter app using Flask, Angular and Docker. https://medium.com/@dvelsner/deploying-a-simple-machine-learning-model-in-a-modern-web-application-flask-angular-docker-a657db075280

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

detect objects using svm and opencv

An AI Assistant More Than a Toolkit

Template codes and examples for Python machine learning concepts

Archives and Tasks for ML+ sessions

Base machine learning image and environment.

Real-time hand pose estimation and gesture classification using TensorRT