A library of shared system prompts for creating customized educational GPT agents.
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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).
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
Metric Learning Algorithms in Python.
A Python module for metric learning.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Supports teaching, studying or skills practice with AI-guided learning tools.
A generic approach that allows to mimic most factorization models by feature engineering.
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.
Kernel density estimators for Julia.
Run Keras models in the browser, with GPU support provided by WebGL 2.
Clojure wrapper for deeplearning4j with some added syntactic sugar.
A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
Supports teaching, studying or skills practice with AI-guided learning tools.