1308 Open source projects that are alternatives of or similar to polystores

Polyaxon Core Client & CLI to streamline MLOps

A scikit-learn compatible implementation of hyperband

Sequential model-based optimization with a `scipy.optimize` interface

Automated Machine Learning with scikit-learn

Library for Semi-Automated Data Science

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.

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

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

Wavelet scattering transforms in Python with GPU acceleration

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

Parallel computing with task scheduling

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A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

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

Docker Start Guide with Python Development Environment

For extensive instructor led learning

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

Alpine Container for Machine Learning

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

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

Python Cheat Sheet NumPy, Matplotlib

📚 Various cheatsheets in PDF

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

The open and extensible integrated development environment (IDE) for computer vision with built-in modules for model building, automated labeling, data processing, model training, hyperparameter tuning and workflow orchestration.

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Parallel Hyperparameter Tuning in Python

[UNMAINTAINED] Automated machine learning for analytics & production

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

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

A general-purpose pythonic genetic algorithm.

Data Science with Python

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

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

Use AI to generate a optimized stock portfolio

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.

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

notebooks with example for machine learning examples

A collection of notebooks of my Machine Learning class written in python 3

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

Open Machine Learning Course

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

Credit Risk analysis by using Python and ML

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

An Interactive Approach to Understanding Deep Learning with Keras

🍊 📊 💡 Orange: Interactive data analysis

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Public reusable components for Polyaxon

📓 deepleaning and cv notes.

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Hyperparameter optimization package of the mlr3 ecosystem

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

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

Machine Learning Operator & Controller for Kubernetes

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.

Distribution transparent Machine Learning experiments on Apache Spark

Machine Learning Tool Box

🦅Hyperparameter optimization for machine learning pipelines 🦅

Black box hyperparameter optimization made easy.

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

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