XiongMeijing's Stars
mehulrastogi/Deep-Belief-Network-pytorch
This repository has implementation and tutorial for Deep Belief Network
XiongMeijing/Deep-Belief-Network-pytorch
This repository has implementation and tutorial for Deep Belief Network
DaErwen1/Prognostic
Prognostics Health Management
rohithreddy024/VAE-GAN-Pytorch
Generation of 128x128 bird images using VAE-GAN with additional feature matching loss
YixinChen-AI/CVAE-GAN-zoos-PyTorch-Beginner
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
bellchenx/3D-Mesh-Geometric-GAN
Test version of 3D Mesh Geometric GAN. Training failed.
openai/jukebox
Code for the paper "Jukebox: A Generative Model for Music"
githubnemo/membank
Various experiments with Recurrent Neural Network formulations
johnyjyu/wip
rogertrullo/Gated-PixelCNN-Pytorch
Gated PixelCNN implementation in pytorch
google-deepmind/sonnet
TensorFlow-based neural network library
hustcxl/Rotating-machine-fault-data-set
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
camaramm/tennessee-eastman-profBraatz
The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).
tan800630/Pytorch_implementation
KeniMardira/PokeVQVAE
kamenbliznashki/generative_models
Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
nakosung/VQ-VAE
VQ-VAE implementation / pytorch
roboticcam/python_machine_learning
it contains all my python demo code accompanying my machine learning notes
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
bfarzin/pytorch_aae
Pytorch Adversarial Auto Encoder (AAE)
devnag/pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
XiubenWu/GANFORCWRU
New GAN models in dataset of CWRU
JianXu95/leetcode
LeetCode Problems' Solutions
JianXu95/Fault_Diagnosis_CNN
593903762/Machine-Learning-Book-Pirated
机器学习中深度学习、强化学习、监督学习、集成学习相关的影印版pdf书籍
glqglq/ml_dl_wiki
边缘智算wiki
zhao62/Deep-Residual-Shrinkage-Networks
The deep residual shrinkage network is a variant of deep residual networks.
kefirski/bdir_vae
simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
XiongMeijing/FloWaveNet
A Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"
alimirzaei/adverserial-autoencoder-keras
Keras Implementation of adverserial autoencoder (AAE)