apsarath / NRU
☆22Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for NRU
- ☆24Updated 4 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆27Updated 6 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 3 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 4 years ago
- Adversarial Lipschitz Regularization☆11Updated 3 years ago
- Partial implementation of ODE-GAN technique from the paper Training Generative Adversarial Networks by Solving Ordinary Differential Equa…☆16Updated 3 years ago
- ☆39Updated 6 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆80Updated 9 months ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆24Updated 6 years ago
- ☆29Updated 2 years ago
- Implementation of soft dynamic time warping in pytorch☆100Updated 3 years ago
- ☆24Updated 4 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 3 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆50Updated 7 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆67Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 6 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 2 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 4 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Updated 5 years ago
- ☆24Updated 3 years ago
- Transformer Variational Autoencoder experiment☆49Updated 5 years ago
- Keras implementation of Deep Wasserstein Embeddings☆46Updated 6 years ago
- Adversarial Non-linear Independent Component Analysis☆49Updated 7 years ago
- Code for reversible recurrent neural networks☆38Updated 5 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆43Updated 3 years ago
- Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"☆26Updated 5 years ago
- Differentiable Dynamic Programming☆69Updated 4 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 5 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆53Updated 7 years ago