AAE_pytorch
Autoencoder
An implementation of Adversarial Autoencoders using PyTorch for training neural networks on structured data.
198 stars
6 watching
50 forks
Language: Python
last commit: over 7 years ago
Linked from 2 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
karpathy/pytorch-made | An implementation of a masked autoencoder density estimation model in PyTorch | 539 |
zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,041 |
embodiedgpt/embodiedgpt_pytorch | A PyTorch-based toolkit for creating customized multimedia datasets and handling heterogeneous data for training AI models. | 340 |
kefirski/pytorch_rvae | A deep learning implementation of a recurrent variational autoencoder for generating sequential data. | 357 |
boyuanjiang/context_encoder_pytorch | A PyTorch implementation of a deep learning model for inpainting images using contextual information | 365 |
cxhernandez/molencoder | A PyTorch-based implementation of an autoencoder for molecular data processing and encoding. | 86 |
onlytailei/a3c-pytorch | An implementation of Advantage async Actor-Critic Algorithms in PyTorch for Deep Reinforcement Learning | 114 |
shobrook/sequitur | A library of autoencoders for sequential data | 429 |
atgambardella/pytorch-es | An implementation of an optimization algorithm for training neural networks in machine learning environments. | 351 |
akanimax/pro_gan_pytorch | Implementation of a deep learning model for generating high-quality images with improved stability and variation. | 536 |
furkanu/deeplearning.ai-pytorch | Re-implementation of Coursera's Deep Learning specialization assignments in PyTorch | 149 |
eduardoleao052/js-pytorch | A JavaScript library that provides GPU-accelerated deep learning capabilities with automatic differentiation and neural network layers. | 1,084 |
andrewliao11/dni.pytorch | An implementation of synthetic gradients to decouple neural network layers and enable scalable communication between them | 118 |
jakezhaojb/arae | An implementation of Adversarially Regularized Autoencoders for language generation and discrete structure modeling. | 400 |
fgxaos/pytorch-innvestigate | PyTorch implementation of an explainability technique for deep neural networks | 9 |