Zhiyuan1991 / proVLAE
☆27Updated 4 years ago
Alternatives and similar repositories for proVLAE:
Users that are interested in proVLAE are comparing it to the libraries listed below
- ☆26Updated 6 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Official PyTorch implementation of Spatial Dependency Networks.☆35Updated 4 years ago
- EfficientMORL (ICML'21)☆22Updated 3 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- ☆21Updated 5 years ago
- A discrete sequential VAE☆39Updated 4 years ago
- "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019☆21Updated 5 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆40Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Generates a zip archive that is uploadable to arXiv.☆45Updated 5 years ago
- ☆42Updated 5 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 2 years ago
- Starter Kit for the NeurIPS 2019 Disentanglement Challenge☆33Updated 2 years ago
- Like Moving MNIST, but way more flexible☆24Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Masked Convolutional Flow☆59Updated 5 years ago
- TensorFlow code for paper: Learning Generative ConvNets via Multi-grid Modeling and Sampling☆24Updated 6 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆25Updated 6 years ago
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆58Updated 2 years ago
- Experience-embedded Visual Foresight, CoRL 2019☆14Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- "CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020☆33Updated 4 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆77Updated 4 years ago