github.com
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
Directory
Search results
Published directory entries matching your search.
bigml.com
Machine Learning made beautifully simple for everyone. Take your business to the next level with the Machine Learning platform.
github.com
Machine Learning framework for rapid development of Machine Learning and Statistical applications.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Helps find, analyze or synthesize information for research and knowledge discovery.
github.com
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
github.com
Notebooks and code for the book "Introduction to Machine Learning with Python".
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
machinelearningmastery.com
About helping professional programmers confidently apply machine learning algorithms to address complex problems.
github.com
Class on machine w/ PDF, lectures, code.
github.com
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
github.com
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
github.com
Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.
github.com
Open-source, low-code machine learning library in Python that automates machine learning workflows.
github.com
Implementation of Random Forest in Common Lisp.
danielforsyth.me
Creates, rewrites or summarizes written content with language models.
github.com
Python library for experiment metrics logging into simply formatted local files.
github.com
Library for high performance deep learning inference on NVIDIA GPUs.
github.com
TypeScript SDK to easily call 100+ LLMs using OpenAI's format.