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anfis-pytorch

Implementation of ANFIS using the pyTorch framework

attentioned-dual-stage-stock-prediction

By PyTorch

bp-rbf-prediction

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

convolutional_lstm_pytorch

Multi-layer convolutional LSTM with Pytorch

de

The basic differential evolution algorithm for constrained single-objective optimization

disentanglement-pytorch

Disentanglement library for PyTorch

disentanglement_lib

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

disentanglment

Experiments with beta-VAE to learn disentangled representations from the data

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

do-mpc

Model predictive control python toolbox

donut

WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

evolopy

ganhacks

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

leetcode-go

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

m5-forecasting-accuracy-2020

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 )

mogwo

Multi-Objective Grey Wolf Optimizer

mtgnn

multivariate-time-series-data

nonlinear_ica_implementations

A repository of implementations of some nonlinear ICA methods

opfunu

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

pymoo

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

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-mdn

Mixture Density Networks for PyTorch

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch-vae-1

A Variational Autoencoder (VAE) implemented in PyTorch

rbf_keras

RBF layer for Keras

recurrent-visual-attention

A PyTorch Implementation of "Recurrent Models of Visual Attention"

semi-supervised-svr

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

sentence-vae

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

tcn

Sequence modeling benchmarks and temporal convolutional networks