388 Open source projects that are alternatives of or similar to mash_2016_sklearn_intro

Hummingbird compiles trained ML models into tensor computation for faster inference.

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.

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

Fit interpretable models. Explain blackbox machine learning.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

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

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

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

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

ADAM - A Question Answering System. Inspired from IBM Watson

A repo that gives a hands-on introduction to machine learning using TensorFlow 2.0

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

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

機器學習: Python

2019년 민족사관고등학교 졸업 프로젝트

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

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Jupyter notebooks from the scikit-learn video series

Using machine learning libraries to analyze NBA data

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

Fast and memory-efficient clustering

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

Polyaxon Core Client & CLI to streamline MLOps

Stanford Machine Learning course exercises implemented with scikit-learn

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Flask API for training and predicting using scikit learn models

Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

Distributed scikit-learn meta-estimators in PySpark

a sklearn wrapper for Google's BERT model

A python library for decision tree visualization and model interpretation.

Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Awesome Domain Adaptation Python Toolbox

Dockerize and deploy machine learning model as REST API using Flask

Python analytics made easy - an open source DataOps, MLOps platform for humans

The "Python Machine Learning (3rd edition)" book code repository

Docker Start Guide with Python Development Environment

⚙️ Schedule notebooks, run them like APIs, expose securely your assets: Jupyter as a viable ⚡️ Production environment

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

Stacked Generalization (Ensemble Learning)

Automated machine learning (AutoML) with grammar-based genetic programming

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

A collection of awesome scripts from developers around the globe.

📚 Various cheatsheets in PDF

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

SciKIt-learn Pipeline in PAndas

Machine Learning inference engine for Microcontrollers and Embedded devices

scikit-mine : pattern mining in Python

Google TensorFlow project for classification using images or video input.

Predicting forex binary options using time series data and machine learning

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

X lines of Python

Fast Best-Subset Selection Library

🦅Hyperparameter optimization for machine learning pipelines 🦅

Titanic assignment on Kaggle competition

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

(Python) transform a document-term matrix to an Okapi/BM25 representation

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库