Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
A free video series by Andrej Karpathy covering neural networks from scratch — backpropagation, makemore, GPT, and more.
Supports teaching, studying or skills practice with AI-guided learning tools.
IPython notebooks for a complete course around understanding Nervana's Neon.
A library of shared system prompts for creating customized educational GPT agents.
Methods for dimensionality reduction.
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.
Multidimensional cluster generation in MATLAB/Octave.
Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
A minimal, educational, Pythonic implementation of autograd (~100 loc).
Microsoft Azure provides AI-assisted learning, courses, tutorials, or study support.
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
Metric Learning Algorithms in Python.
A Python module for metric learning.
An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
Mathos AI provides AI-assisted learning, courses, tutorials, or study support.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Maschinelle Sprachgebrauchsanalyse - Grundlagen der Korpuslinguistik provides AI-assisted learning, courses, tutorials, or study support.
An open course on designing, developing, deploying, and iterating on production ML systems.