SSS135 / aiqn-vaeLinks
VAE + Quantile Networks for MNIST
☆12Updated 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:
- Source code for "Towards a Deeper Understanding of Adversarial Losses under a Discriminative Adversarial Network Setting"☆42Updated 2 years ago
- ☆13Updated 7 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago
- Code for reproducing results in "Generative Model with Dynamic Linear Flow"☆71Updated 5 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"☆26Updated 5 years ago
- ☆21Updated 5 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Updated 7 years ago
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆19Updated 4 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 6 years ago
- SplitNet implemented based on ResNet-50 trained on ImageNet-22K☆16Updated 7 years ago
- An attempt at a PyTorch Implementation of "Zero-Shot" Super-Resolution using Deep Internal Learning by Shocher et al. CVPR 2018☆13Updated 6 years ago
- Experiments verifying that AC-GAN downsamples points near decision boundary (NIPS BDL 2017)☆9Updated 7 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Updated 7 years ago
- Code for replication of the paper "GANs beyond divergence minimization"☆21Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 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
- Variational autoencoder in Theano☆12Updated 7 years ago
- Chainer implementation of Improving Generative Adversarial Networks with Denoising Feature Matching☆29Updated 7 years ago
- Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"☆14Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019☆21Updated 5 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 5 years ago
- Chainer implementation of the paper Robust Conditional Generative Adversarial Networks☆15Updated 4 years ago
- examples of Neural Autoregressive Flows☆13Updated 6 years ago
- ☆29Updated 3 years ago
- PyTorch implementation of AVF☆45Updated 4 years ago
- Simple Tensorflow implementation of "SDIT: Scalable and Diverse Cross-domain Image Translation" (ACM-MM 2019)☆16Updated 5 years ago
- Variational autoencoder implementation in tensorflow following the classic paper by Kingma and Welling.☆12Updated 7 years ago