SSS135 / aiqn-vaeLinks
VAE + Quantile Networks for MNIST
☆13Updated 6 years ago
Alternatives and similar repositories for aiqn-vae
Users that are interested in aiqn-vae are comparing it to the libraries listed below
Sorting:
- Code for reproducing results in "Generative Model with Dynamic Linear Flow"☆71Updated 6 years ago
- ☆17Updated 7 years ago
- PyTorch implementation of AVF☆45Updated 5 years ago
- A discrete sequential VAE☆40Updated 5 years ago
- Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆21Updated 7 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Source code for "Towards a Deeper Understanding of Adversarial Losses under a Discriminative Adversarial Network Setting"☆42Updated 3 years ago
- ☆27Updated 5 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago
- ☆29Updated 3 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- ☆13Updated 7 years ago
- Repository for the paper "Simple and Effective VAE Training with Calibrated Decoders"☆29Updated 4 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"☆26Updated 5 years ago
- Meta-SGD Algorithms Implementation☆22Updated last year
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Simple Summary of CNN Architecture☆34Updated 7 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆28Updated 7 years ago
- Official implementation of "On GANs and GMMs"☆66Updated 5 years ago
- Uniform Writing & Cached Uniform Writing☆26Updated 6 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago