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GitHub Repo https://github.com/readml/np_nets

readml/np_nets

For implementation practice; vectorized nets

GitHub Repo https://github.com/hpca-uji/SpMV-CNN-Model

hpca-uji/SpMV-CNN-Model

SpMV-CNN: A set of convolutional neural nets for estimating the run time and energy consumption of the sparse matrix-vector product

GitHub Repo https://github.com/A1essandro/VectorAndPoint.NetStandard

A1essandro/VectorAndPoint.NetStandard

Vector, Vector3D, Point and Point3D for netstandard1.3

GitHub Repo https://github.com/ecmyhre/TimeSeries_Classifier

ecmyhre/TimeSeries_Classifier

Classify Time-series/Sequential data using Neural Nets (Feedforward NN and Recurrent NN) as well as Support Vector Machine (SVM)

GitHub Repo https://github.com/MkdmOmar/Mathematical-Symbol-Recognition

MkdmOmar/Mathematical-Symbol-Recognition

Tools that learn to recognize online handwritten mathematical symbols and expressions using data extraction techniques, neural nets, and support vector machines.

GitHub Repo https://github.com/arp95/rvfl_research

arp95/rvfl_research

Using Random Vector Functional Link Neural Nets for research purposes.

GitHub Repo https://github.com/davidclark1/VectorizedNets

davidclark1/VectorizedNets

Code for 'Credit Assignment Through Broadcasting a Global Error Vector' in NeurIPS 2021

GitHub Repo https://github.com/epfl-ml4ed/ripple

epfl-ml4ed/ripple

Interpretability on raw time series with graph neural nets and concept activation vectors. Featured at AAAI 2023.

GitHub Repo https://github.com/abhiwalia15/Python-for-Data-Science-and-Machine-Learning-Bootcamp

abhiwalia15/Python-for-Data-Science-and-Machine-Learning-Bootcamp

program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning: Programming with Python NumPy with Python Using pandas Data Frames to solve complex tasks Use pandas to handle Excel Files Web scraping with python Connect Python to SQL Use matplotlib and seaborn for data visualizations Use plotly for interactive visualizations Machine Learning with SciKit Learn, including: Linear Regression K Nearest Neighbors K Means Clustering Decision Trees Random Forests Natural Language Processing Neural Nets and Deep Learning Support Vector Machines and much, much more!

GitHub Repo https://github.com/lli27/Improved-B-RVFL-nets

lli27/Improved-B-RVFL-nets

This project presents a complete Bayesian framework combined with the Random vector function-link nets (RVFL) algorithm for complicated data modeling, where we add the prior distribution both on the combination weights and the parameters of the basic functions.