Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Directory
AI Education & Learning
AI education and learning covers courses, roadmaps, and guides for people studying machine learning. Entries include university courses, free video series, reading lists, hands-on notebooks, and roadmaps that map out a path through the field. They assume different starting points, so compare the maths and programming each one expects, whether it uses a current framework, and how much practice comes with the theory. Some are kept by a university or a company, others by one person who may move on, so check when the material was last revised. The field moves quickly, and an older guide can still teach the fundamentals.
Convert images and PDFs to LaTeX, DOCX, Overleaf, Markdown, Excel, ChemDraw and more, with our AI-powered document conversion technology.
LynxKite is a GPU-accelerated platform for graph analytics and drug discovery. It combines graph reasoning, machine learning and molecule analysis in one workflow, and offers 600+ graph operations with 2D and 3D molecule visualization. It is free and open source with a commercial tier for production teams.
Made With ML is an educational resource by Anyscale that teaches how to responsibly design, develop, deploy and iterate on production machine learning applications. Its lessons cover design, data preparation, model training, development, testing, reproducibility and production.
Maschinelle Sprachgebrauchsanalyse - Grundlagen der Korpuslinguistik provides AI-assisted learning, courses, tutorials, or study support.
A two-year, 120 ECTS Master of Science program in Data Science and Artificial Intelligence at Eindhoven University of Technology, taught in English. Students study collecting, managing, analyzing and interpreting data, and developing AI systems, with specializations such as Process Analytics, Data Management & AI, Visual Data Science, Data Analytics, Machine Learning and Artificial Intelligence.
Supports teaching, studying or skills practice with AI-guided learning tools.
Mathos AI provides AI-assisted learning, courses, tutorials, or study support.
MEKA is an open source implementation of methods for multi-label learning and evaluation, based on the WEKA Machine Learning Toolkit. It includes dozens of multi-label methods from the scientific literature and a wrapper to the MULAN framework. The project is distributed via SourceForge, with code hosted on GitHub.
A Python module for metric learning.
Metric Learning Algorithms in Python.
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
Microsoft Azure for Students offers access to cloud services, developer tools and $100 in Azure credits for students to build apps and explore AI and data science. Signup uses a school email, renews yearly while the user is a student, and does not require a credit card.
A minimal, educational, Pythonic implementation of autograd (~100 loc).
A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022.
Multidimensional cluster generation in MATLAB/Octave.
It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.
Methods for dimensionality reduction.
A library of shared system prompts for creating customized educational GPT agents.
IPython notebooks for a complete course around understanding Nervana's Neon.
Supports teaching, studying or skills practice with AI-guided learning tools.