Line Libraries

The following Sankey flow diagram shows the current glyph sets included: If you want download the latest release of a given font inside a script you can use (replace "JetBrainsMono" with your font): …

Jina provides a smooth Pythonic experience for serving ML models transitioning from local deployment to advanced orchestration frameworks like Docker-Compose, Kubernetes, or Jina AI Cloud. Jina makes…

Zipline currently supports Python 2.7, 3.5, and 3.6, and may be installed via either pip or conda. The following code implements a simple dual moving average algorithm. You can then run this algorith…

While I would love to devote more time to Leon, I'm currently unable to do so because I have bills to pay. I have some ideas about how to monetize Leon in the future (Leon's core will always remain …

With Dagster, you declare—as Python functions—the data assets that you want to build. Dagster then helps you run your functions at the right time and keep your assets up-to-date. Here is an example o…

We start with a high level overview of some foundational concepts in numerical linear algebra. We will use the newsgroups dataset to try to identify the topics of different posts. We use a term-docu…

Python Script for 'searching' and 'downloading' hundreds of Google images to the local hard disk! This program lets you download tons of images from Google. Please do not download or use any image th…

An open-source python library built to empower developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code. We t…

Install xonsh from pip: The xonsh shell is developed by a community of volunteers. There are a few ways to help out: We welcome new contributors!

JSON Convert or using the alternative "magic" syntax: See also: Use Cases: For example, to skip the first and last line of the following text, you could express the slice in a couple ways: Here is a …

Run Python commands alongside shell commands: Color options include: Usage: View all pull requests for your repos: View all open issues where you have been mentioned: View all issues, filtering for o…

Render local readme files before sending off to GitHub. Sometimes you just want to see the exact readme result before committing and pushing to GitHub. To install grip, simply: On OS X, you can also …

To make a new entry, just enter Our maintainers help keep the lights on for the project:

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…

Now let's run the model on the dataset in a streaming fashion. We sequentially interleave predictions and model updates. Meanwhile, we update a performance metric to see how well the model is doing. …

If you have a favorite algorithm that should be included or spot a mistake in one of the notebooks, please let me know by creating a new issue. See the LICENSE file for license rights and limitations…

Python codes for common Machine Learning Algorithms

Click this link to open the repo in a Gitpod Workspace: Create or edit notebooks with We're building a community. Come hang out with us! We believe that the tools we use shape the way we think — bett…

NOTE: This works with NVIDIA Graphics Devices only, no AMD support as of now. Contributions are welcome! To install the latest version (master branch) via pip:

Special features include: Below are some short help sections to get you up and running. Targets can be any of the following: Similar to Amass or Subfinder, BBOT supports API keys for various third-pa…

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…

  Taipy is designed for data scientists and machine learning engineers to build full-stack apps.         To install Taipy stable release run:   Below is our filter function. This is a typical Python …

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…

Pandas

A trove of carefully curated resources and links (on the topics of software, platforms, language, techniques, etc.) related to data science, all in one place. Homework 3

These three functionalities enable a variety of use cases for data scientists, machine learning engineers, and data engineers: From here, you can quickly log a dataset: And there you have it, you now…

A procedural Blender pipeline for photorealistic rendering. The simplest way to install blenderproc is via pip: Alternatively, if you need to make changes to blenderproc or you want to make use of th…