Model predictive control python toolbox

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

starter from "How to Train a GAN?" at NIPS2016

PyTorch implementations of Generative Adversarial Networks.

WICA: nonlinear weighted ICA

Mixture Density Networks for PyTorch

A list of all named GANs!

Disentanglement library for PyTorch

A repository of implementations of some nonlinear ICA methods

disentanglement_lib is an open-source library for research on learning disentangled representations.

A Collection of Variational Autoencoders (VAE) in PyTorch.

A collection of Benchmark functions for numerical optimization problems. Framework of OPtimization FUnction in NUmpy (opfunu)

Implementation of ANFIS using the pyTorch framework

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

By PyTorch

Sequence modeling benchmarks and temporal convolutional networks

RBF layer for Keras

proof of concept for a transformer-based time series prediction model

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

Multi-layer convolutional LSTM with Pytorch

Estimate the unit sales of Walmart retail goods (Kaggle Competition, https://www.kaggle.com/c/m5-forecasting-accuracy, https://www.kaggle.com/c/m5-forecasting-uncertainty/data )

A PyTorch Implementation of "Recurrent Models of Visual Attention"

The basic differential evolution algorithm for constrained single-objective optimization

Semi-supervised implementation of Support Vector Regression (SVR) using a manifold regularizer.

使用BP神经网络、RBF神经网络以及PSO优化的RBF神经网络进行数据的预测

Multi-Objective Grey Wolf Optimizer

A Variational Autoencoder (VAE) implemented in PyTorch