[ICCV 2021] Authors official PyTorch implementation of the "WarpedGANSpace: Finding non-linear RBF paths in GAN latent space".
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Updated
Jun 8, 2023 - Python
[ICCV 2021] Authors official PyTorch implementation of the "WarpedGANSpace: Finding non-linear RBF paths in GAN latent space".
cat🐈: the repo for the paper "Embarrassingly Simple Unsupervised Aspect extraction"
GPU-Accelerated Radial Basis Function (RBF) Interpolation in PyTorch
Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons
EE7207 Neural & Fuzzy Systems
PreTab is a modular, scikit-learn-compatible representation and preprocessing library for tabular data. Its focus is feature representation and expansion: splines, neural basis maps, piecewise-linear encoding, kernel approximations, and language embeddings, each shipped as a standalone transformer that speaks the standard fit / transform.
Implementing Artificial Neural Network training process in Python
Mapping, Radial Basis Function, RBF, FSI
Spatial interpolation python package
MLP, CNN, RBFN and SVM on MNIST dataset with Keras framework
Fast and scalable RBF interpolation
Image Processing and classification using Machine Learning : Image Classification using Open CV and SVM machine learning model
The project aims to research and develop a python package to solve PDEs using the Collocation Method with Radial Basis Functions (RBF). This a project done for the Centro de Investigación en Computación of the Instituto Politénico Nacional under the supervision of Dr. Juan Carlos Chimal Eguía.
This project aims to develop adaptive PID controllers using neural networks. Work in progress.
Compactly supported RBF detail field for perturbation of 1-Lipschitz neural signed distance fields
evolutionary-based approach in RBF neural network training
Solution of the Laplace equation in 2D using Domain Decomposition Method and Radial Basis Functions
Basic implementation of FNN and RBF neural networks using tensorflow.
A (simple) radial base function neural network (RBFNN) for sklearn
Auto tunned hybrid model for time series prediction using ARIMA and ANN
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