scikit-learn

Open-source projects categorized as scikit-learn

Top 23 scikit-learn Open-Source Projects

  • ML-For-Beginners

    12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

    Project mention: Good coding groups for black women? | news.ycombinator.com | 2024-01-13

    - https://github.com/microsoft/ML-For-Beginners

    Also check out this list Pitt puts out every year:

  • 100-Days-Of-ML-Code

    100 Days of ML Coding

    Project mention: Top 10 GitHub Repositories Every Developer Should Bookmark in 2024 | dev.to | 2024-02-07

    2) 100 Days of ML Code: Embark on a 100-day journey into the fascinating world of machine learning with this structured curriculum. Packed with bite-sized coding challenges and real-world projects, this repository will transform you from a coding novice to a confident ML enthusiast. (https://github.com/Avik-Jain/100-Days-Of-ML-Code)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  • PythonDataScienceHandbook

    Python Data Science Handbook: full text in Jupyter Notebooks

    Project mention: About Data analyst, data scientist and data engineer, resources and experiences | dev.to | 2024-03-26

    Python Data Science Handbook

  • data-science-ipython-notebooks

    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.

  • handson-ml

    ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  • best-of-ml-python

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

  • onnxruntime

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

    Project mention: Deep Learning in JavaScript | news.ycombinator.com | 2024-03-28

    tfjs is dead, looking at the commit history. The standard now is to convert PyTorch to onnx, then use onnxruntime (https://github.com/microsoft/onnxruntime/tree/main/js/web) to run the model on the browsdr.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • python-machine-learning-book

    The "Python Machine Learning (1st edition)" book code repository and info resource

  • Dask

    Parallel computing with task scheduling

    Project mention: The Distributed Tensor Algebra Compiler (2022) | news.ycombinator.com | 2023-06-15
  • mlcourse.ai

    Open Machine Learning Course

    Project mention: Open Machine Learning Course | news.ycombinator.com | 2023-10-22
  • auto-sklearn

    Automated Machine Learning with scikit-learn

  • sktime

    A unified framework for machine learning with time series

  • featuretools

    An open source python library for automated feature engineering

    Project mention: Featuretools – A Python Library for Automated Feature Engineering | news.ycombinator.com | 2023-09-20
  • autogluon

    AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

    Project mention: pip install remyxai - easiest way to create custom vision models | /r/computervision | 2023-04-25

    This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg https://github.com/autogluon/autogluon)

  • interpret

    Fit interpretable models. Explain blackbox machine learning.

  • skorch

    A scikit-learn compatible neural network library that wraps PyTorch

  • orange

    🍊 :bar_chart: :bulb: Orange: Interactive data analysis

    Project mention: Ask HN: What Underrated Open Source Project Deserves More Recognition? | news.ycombinator.com | 2024-03-07
  • machine_learning_complete

    A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

  • python-machine-learning-book-3rd-edition

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

  • superduperdb

    🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.

    Project mention: FLaNK Stack Weekly 12 February 2024 | dev.to | 2024-02-12
  • yellowbrick

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

  • flower

    Flower: A Friendly Federated Learning Framework (by adap)

    Project mention: Pyenv – lets you easily switch between multiple versions of Python | news.ycombinator.com | 2024-03-25

    We use Pyenv successfully for developing the Flower open-source project. We use a few simple Bash scripts to manage virtual environments with different Python versions via pyenv and the pyenv-virtualenv plugin.

    The main scripts are `venv-create.sh`, `venv-delete.sh` and `bootstrap.sh`. `venv-reset.sh` pulls these three scripts together to make reinstalling your venv a single command.

    Here's the link if anyone is interested: https://github.com/adap/flower/tree/main/dev

  • Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

    A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2024-03-28.

scikit-learn related posts

Index

What are some of the best open-source scikit-learn projects? This list will help you:

Project Stars
1 ML-For-Beginners 65,268
2 100-Days-Of-ML-Code 42,862
3 PythonDataScienceHandbook 41,238
4 data-science-ipython-notebooks 26,307
5 handson-ml 25,100
6 best-of-ml-python 15,208
7 onnxruntime 12,386
8 python-machine-learning-book 12,076
9 Dask 11,906
10 mlcourse.ai 9,345
11 auto-sklearn 7,378
12 sktime 7,330
13 featuretools 6,992
14 autogluon 6,984
15 interpret 5,962
16 skorch 5,596
17 orange 4,563
18 machine_learning_complete 4,462
19 python-machine-learning-book-3rd-edition 4,362
20 superduperdb 4,229
21 yellowbrick 4,183
22 flower 4,005
23 Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials 3,623
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com