Pinned Repositories
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
yodepapa's Repositories
yodepapa/do-mpc
Model predictive control python toolbox
yodepapa/pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
yodepapa/ganhacks
starter from "How to Train a GAN?" at NIPS2016
yodepapa/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
yodepapa/wica
WICA: nonlinear weighted ICA
yodepapa/pytorch-mdn
Mixture Density Networks for PyTorch
yodepapa/the-gan-zoo
A list of all named GANs!
yodepapa/disentanglement-pytorch
Disentanglement library for PyTorch
yodepapa/MTGNN
yodepapa/Nonlinear_ICA_implementations
A repository of implementations of some nonlinear ICA methods
yodepapa/EvoloPy
yodepapa/disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
yodepapa/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
yodepapa/opfunu
A collection of Benchmark functions for numerical optimization problems. Framework of OPtimization FUnction in NUmpy (opfunu)
yodepapa/anfis-pytorch
Implementation of ANFIS using the pyTorch framework
yodepapa/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
yodepapa/attentioned-dual-stage-stock-prediction
By PyTorch
yodepapa/TCN
Sequence modeling benchmarks and temporal convolutional networks
yodepapa/test
test try
yodepapa/rbf_keras
RBF layer for Keras
yodepapa/transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
yodepapa/Sentence-VAE
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
yodepapa/Convolutional_LSTM_PyTorch
Multi-layer convolutional LSTM with Pytorch
yodepapa/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 )
yodepapa/recurrent-visual-attention
A PyTorch Implementation of "Recurrent Models of Visual Attention"
yodepapa/DE
The basic differential evolution algorithm for constrained single-objective optimization
yodepapa/semi-supervised-svr
Semi-supervised implementation of Support Vector Regression (SVR) using a manifold regularizer.
yodepapa/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
yodepapa/MOGWO
Multi-Objective Grey Wolf Optimizer
yodepapa/pytorch-vae-1
A Variational Autoencoder (VAE) implemented in PyTorch