Published directory entries matching your search.
Approaching (Almost) Any Machine Learning Problem is a GitHub repository or organization with source code, releases, documentation, or project.
Machine Learning Visualized is a GitHub repository or organization with source code, releases, documentation, or project resources.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
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.
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
Machine Learning framework for rapid development of Machine Learning and Statistical applications.
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.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Notebooks and code for the book "Introduction to Machine Learning with Python".
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.
Open-source, low-code machine learning library in Python that automates machine learning workflows.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Class on machine w/ PDF, lectures, code.
A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.
General Machine Learning library using Numenta’s Cortical Learning Algorithm.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.