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    144 Components & Libraries

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    Ebook Libraries

    gradio
    Build and share delightful machine learning apps, all in Python. šŸŒŸ Star to support our work!

    It just takes a few lines of Python to create a beautiful demo like the one above, so let's get started šŸ’« You can run Gradio in your favorite code editor, Jupyter notebook, Google Colab, or anywhere ā€¦

    gradio-app
    27.3K Mar 09, 2024
    Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
    aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

    After some recent success of Bayesian methods in machine-learning competitions, I decided to investigate the subject again. Even with my mathematical background, it took me three straight-days of reaā€¦

    CamDavidsonPilon
    26.35K Apr 23, 2024
    handson-ml
    A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

    Use any of the following services. Next, run the following commands: Finally, start Jupyter: I recommend Python 3.7. If you follow the installation instructions above, that's the version you will getā€¦

    ageron
    24.86K Sep 16, 2022
    homemade-machine-learning
    šŸ¤– Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

    In regression problems we do real value predictions. Basically we try to draw a line/plane/n-dimensional plane along the training examples. In classification problems we split input examples by certaā€¦

    trekhleb
    22.39K Mar 09, 2024
    bokeh
    Interactive Data Visualization in the browser, from Python

    Non-monetary support can help with development, collaboration, infrastructure, security, and vulnerability management. The Bokeh project is grateful to the following companies for their donation of sā€¦

    bokeh
    18.35K Nov 29, 2023
    PRML
    PRML algorithms implemented in Python

    Python codes implementing algorithms described in Bishop's book "Pattern Recognition and Machine Learning" From the table below, you can open the notebooks for each chapter in each of these environmeā€¦

    ctgk
    11.26K Mar 01, 2024
    The-Complete-FAANG-Preparation
    This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.

    We'd love your contributions! Kindly follow the steps below to get started: Clone the forked repository. Make changes. Stage your changes and commit

    AkashSingh3031
    9.89K Mar 01, 2024
    docker-stacks
    Ready-to-run Docker images containing Jupyter applications

    The container remains intact for restart after the Server exits.

    jupyter
    7.54K Nov 15, 2023
    industry-machine-learning
    A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
    firmai
    6.92K Nov 24, 2023
    jupytext
    Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

    Have you always wished Jupyter notebooks were plain text documents? Wished you could edit them in your favorite IDE? And get clear and meaningful diffs when doing version control? Then, Jupytext may ā€¦

    mwouts
    6.28K Dec 31, 2023
    pyprobml
    Python code for "Probabilistic Machine learning" book by Kevin Murphy

    The notebooks needed to make all the figures are available at the following locations. You can use any of the following options to install the other requirements. Run Then install manually.

    probml
    6.18K Mar 08, 2024
    Data-Analysis-and-Machine-Learning-Projects
    Repository of teaching materials, code, and data for my data analysis and machine learning projects.

    Ā© 2016 - current, Randal S. Olson This is a repository of teaching materials, code, and data for my data analysis and machine learning projects. Be sure to check the documentation (usually in IPythonā€¦

    rhiever
    5.74K Nov 24, 2023
    developer-handbook
    An opinionated guide on how to become a professional Web/Mobile App Developer.

    It contains a lot of subjective technical groups, opinionated technologies, vetted requirements and best practices we gathered for Web & Mobile Developers that we believe to be useful in 2023. Enā€¦

    apptension
    5.48K Nov 21, 2023
    MachineLearningNotebooks
    Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

    Welcome to the Azure Machine Learning Python SDK notebooks repository! Install additional packages as needed: This repository is a push-only mirror. Pull requests are ignored.

    Azure
    3.9K Mar 07, 2024
    aws-sdk-pandas
    pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

    Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSONā€¦

    aws
    3.67K Dec 10, 2023
    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.

    IPython Notebook(s) and other programming tools such as Torch/Lua/D lang in demonstrating deep learning functionality. Additional PyRo tutorials: IPython Notebook(s) demonstrating scikit-learn functiā€¦

    TarrySingh
    3.54K Nov 24, 2023
    tensorwatch
    Debugging, monitoring and visualization for Python Machine Learning and Data Science

    TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Microsoft Research. It works in Jupyter Notebook to show real-time visualizaā€¦

    microsoft
    3.36K Mar 08, 2024
    ploomber
    The fastest āš”ļø way to build data pipelines. Develop iteratively, deploy anywhere. ā˜ļø

    A simple YAML API to get started quickly, a powerful Python API for total flexibility. Automatically cache your pipelineā€™s previous results and only re-compute tasks that have changed since your lastā€¦

    ploomber
    3.34K Feb 27, 2024
    ml-workspace
    šŸ›  All-in-one web-based IDE specialized for machine learning and data science.

    The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on youā€¦

    ml-tooling
    3.2K Nov 24, 2023
    deepchecks
    Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

    Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling you to thoroughly test your data and models from research to production. Deepchecks includes: For ā€¦

    deepchecks
    3.13K Dec 09, 2023
    ML-foundations
    Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

    There are eight subjects in the curriculum, organized into four subject areas. See the "Machine Learning House" section below for detail on why these are the essential foundational subject areas: Latā€¦

    jonkrohn
    2.95K Apr 23, 2024
    machine-learning
    :earth_americas: machine learning tutorials (mainly in Python3)

    This is a continuously updated repository that documents personal journey on learning data science, machine learning related topics. Curated notes on deep learning. Notes related to advertising domaiā€¦

    ethen8181
    2.59K Nov 24, 2023
    awesome-notebooks
    A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

    (aka the "awesome-notebooks") The objective of this repository is to create the largest catalog of production-ready Jupyter Notebooks templates. With those templates, it becomes easy to create data pā€¦

    jupyter-naas
    2.2K Dec 28, 2023
    practical-machine-learning-with-python
    Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

    This repository contains all the code, notebooks and examples used in this book. We will also be adding bonus content here from time to time. So keep watching this space! Master the essential skills ā€¦

    dipanjanS
    2.19K Mar 08, 2024
    handout
    Turn Python scripts into handouts with Markdown and figures

    Turn Python scripts into handouts with Markdown comments and inline figures. An alternative to Jupyter notebooks without hidden state that supports any text editor. You use Python Handout as a librarā€¦

    danijar
    2K Mar 03, 2024
    pygraphistry
    PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

    Graphistry gets used on problems like visually mapping the behavior of devices and users, investigating fraud, analyzing machine learning results, and starting in graph AI. It provides point-and-clicā€¦

    graphistry
    1.69K Aug 31, 2022
    spark-py-notebooks
    Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

    The reference book for these and other Spark related topics is: The following notebooks can be examined individually, although there is a more or less linear 'story' when followed in sequence. By usiā€¦

    jadianes
    1.6K Feb 29, 2024
    nannyml
    Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.

    Because NannyML can estimate performance, it is possible to weed out data drift alerts that do not impact expected performance, combatting alert fatigue. Besides linking data drift issues to drops inā€¦

    NannyML
    1.57K Jun 06, 2023

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