354 Open source projects that are alternatives of or similar to Scikit Learn Doc Cn

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Fit interpretable models. Explain blackbox machine learning.

Stanford Machine Learning course exercises implemented with scikit-learn

Framework for setting up predictive analytics services

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

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

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

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

Distributed scikit-learn meta-estimators in PySpark

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

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

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

ADAM - A Question Answering System. Inspired from IBM Watson

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

機器學習: Python

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

Jupyter notebooks from the scikit-learn video series

📖 [译] scikit-learn（sklearn） 中文文档

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

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

Flask API for training and predicting using scikit learn models

A scikit-learn compatible neural network library that wraps PyTorch

A unified framework for machine learning with time series

An unsupervised analysis combining topic modeling and clustering to preserve an individuals work history and credentials while tailoring their resume towards a new career field

Survival analysis built on top of scikit-learn

sktime companion package for deep learning based on TensorFlow

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

libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.

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

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

An open source python library for automated feature engineering

A scikit-learn compatible library for graph kernels

ONNXMLTools enables conversion of models to ONNX

Natural Intelligence is still a pretty good idea.

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

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Samples and Tools for Windows ML.

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

Extra blocks for scikit-learn pipelines.

based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)

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

AutoGluon: AutoML for Text, Image, and Tabular Data

Python package for Bayesian Machine Learning with scikit-learn API

Compilation of R and Python programming codes on the Data Professor YouTube channel.

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

MLOps for AWS SageMaker. www.sagifyml.com

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

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

Wavelet scattering transforms in Python with GPU acceleration

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

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

Automated Machine Learning with scikit-learn

scikit-learn cross validators for iterative stratification of multilabel data

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