Machine-learning-library Libraries

Classifier: Regression: DataPrepare: Simple Models Wrapper: More examples in the folder ./examples: It integrates many popular frameworks: Run

From PyPi: From GitHub: All heavy-duty computations are run on our serverless infrastructure and require an API key. To configure the package with your API key, run To start a Jupyter Notebook server…

ParaMonte has been developed while bearing the following design goals in mind: The ParaMonte library relies on three independent parallelism paradigms for parallel applications: The ParaMonte librari…

Allie is a framework for building machine learning models from audio, text, image, video, or .CSV files. Intended for both beginners and experts, Allie is designed to be easy-to-use for rapid prototy…

spm-image is a Python library for image analysis using sparse modeling and compressive sensing. To set up development environment, run the following commands. If you want to run examples, create sepa…

Loose path: Understanding Math is pivotal. You can never be a good Machine Learning Scientist by skipping the Math. Python - Any one, both courses are equally good Algorithms Since you'll be coding a…

Behind every chatbot and voice assistant lies a common piece of technology: Natural Language Understanding (NLU). Anytime a user interacts with an AI using natural language, their words need to be tr…

Automated machine learning for production and analytics auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on sing…

This is a machine learning library, made from scratch. It uses: It contains the following functionality: Examples are shown in two dimensions for visualisation purposes, however, all methods can hand…

Go into the examples folder and type: That will build all the examples. If you have a CPU that supports AVX instructions then turn them on like this: Doing so will make some things run faster. Finall…