Book Libraries

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

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 rea…

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 get…

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 certa…

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 s…

基于TensorFlow 2正式版！！！ 理论与实战结合，非常适合入门学习！！！ 联系邮箱(一般问题建议Github issues交流)：liangqu.long AT gmail.com 以下高校已采用本书作为专业教材或参考资料(排名不分先后)，欢迎更多高校加入！发送邮件即可索取PPT原始教案。 适合零基础、希望快速入门AI的朋友，提供答疑、指导等全方位服务。

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 environme…

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

The container remains intact for restart after the Server exits.

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 …

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.

© 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 IPython…

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. En…

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.

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

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 functi…

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 visualiza…

A simple YAML API to get started quickly, a powerful Python API for total flexibility. Automatically cache your pipeline’s previous results and only re-compute tasks that have changed since your last…

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 you…

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 …

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: Lat…

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 domai…

(Prometheus recommended, but not required) Robusta is commonly used alongside Prometheus, but other tools are supported too. Robusta can either improve your existing alerts, or be used to define new …

(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 p…

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 …

All contributors (with decent amount of contributions) will be listed as authors in the project. In short, this is a middle-to-high level algorithm book designed with cracking coding interviews at he…

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 librar…