arae-tf
Sequence generator
Automates generation of discrete sequence text using adversarially regularized autoencoders
ARAE-Tensorflow for Discrete Sequences (Adversarially Regularized Autoencoder)
20 stars
5 watching
5 forks
Language: Python
last commit: about 7 years ago
Linked from 1 awesome list
araearae-tensorflowautoencoderganlstmseq2seq
Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of Adversarially Regularized Autoencoders for language generation and discrete structure modeling. | 400 |
| A Pharo implementation of the Weka Arff data format | 1 |
| Generates images of human faces based on textual descriptions using deep learning techniques. | 548 |
| Named Entity Recognition model using LSTM and CRF with character embeddings | 1,947 |
| A Python script generator for creating random Georgian texts based on Vekhistkaosani. | 1 |
| An AI model designed to generate and execute code automatically | 816 |
| A deep learning implementation of a recurrent variational autoencoder for generating sequential data. | 357 |
| A tool for generating adversarial examples to attack text classification and inference models | 496 |
| Generates images from Russian texts using AI models | 1,643 |
| Reproduces text-to-image generation with attentional generative adversarial networks. | 1,343 |
| An implementation of Adversarial Autoencoders using PyTorch for training neural networks on structured data. | 199 |
| Generates random words and passwords from a large English text file. | 2 |
| This codebase provides an implementation of a novel adversarial reward learning algorithm for generating human-like visual stories from image sequences. | 136 |
| This repository provides code for training Generative Adversarial Networks (GANs) for various image datasets, including face generation. | 285 |
| A TensorFlow implementation of generating images from text descriptions using a Generative Adversarial Network (GAN) architecture | 602 |