Uci Libraries

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Sacred is a tool to help you configure, organize, log and reproduce experiments. It is designed to do all the tedious overhead work that you need to do around your actual experiment in order to: Sacr…

Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Flexible integration for any Python script: Build …

python-chess is a chess library for Python, with move generation, move validation, and support for common formats. This is the Scholar's mate in python-chess: Requires Python 3.8+. Download and insta…

EvalAI is an open source platform for evaluating and comparing machine learning (ML) and artificial intelligence (AI) algorithms at scale. In recent years, it has become increasingly difficult to com…

The Insight Toolkit (ITK) is an open-source, cross-platform toolkit for N-dimensional scientific image processing, segmentation, and registration. Segmentation is the process of identifying and class…

If you found this code useful in your programming journey, please consider sponsoring the creation of my content by clicking on the "Sponsor" button in this repo. The funding goes to the creation of …

A Python library with the following principles and goals: With Axelrod you: The library is tested on Python versions 3.8, 3.9, and 3.10. The simplest way to install is: To install from source: The fo…

ITKWidgets is an elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry. To install for all environme…

Note you need version 9.4+. Clone the repository: Enter the directory and install labnotebook locally: Once you've installed the package, you can run the following command on your database url to sta…

In addition to the built-in package documentation there are vignettes with more information on getting started and additional examples:

Deep Reinforcement Learning (DRL) agents applied to medical images tensorpack-medical requires: New contributors of any experience level are very welcomed You can clone the latest version of the sour…

In the era of Deep Learning, developing robust machine learning solutions to problems in biomedical imaging requires access to large amounts of annotated training data, objective comparisons of state…

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One of the headaches researchers face when hand writing Dockerfiles is figuring out which system dependencies your project needs. Often this involves a lot of trial and error. No more trial and error…