Eval_gen
Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Vae Seq | 137 | 6 years ago | apache-2.0 | Python | ||||||
| Variational Auto-Encoders in a Sequential Setting. | ||||||||||
| Image Caption Generator | 136 | 4 years ago | 12 | bsd-3-clause | Jupyter Notebook | |||||
| [DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow | ||||||||||
| Eval_gen | 112 | 7 years ago | 3 | mit | Python | |||||
| Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models" | ||||||||||
| Vae For Image Generation | 75 | 6 years ago | 1 | mit | Python | |||||
| Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets | ||||||||||
| Li_emnlp_2017 | 51 | 6 years ago | 5 | Python | ||||||
| Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet | ||||||||||
| Gatedpixelcnnpytorch | 46 | 6 years ago | mit | Jupyter Notebook | ||||||
| PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016 | ||||||||||
| Generative_model_testbed.tensorflow | 10 | 6 years ago | Python | |||||||
| Experimental framework for GAN/VAE research | ||||||||||
| Vae Pytorch | 7 | 5 years ago | Jupyter Notebook | |||||||
| Implementation of Variational Autoencoder in Pytorch | ||||||||||
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