jpeg729 / pytorch_bits
☆79Updated 6 years ago
Alternatives and similar repositories for pytorch_bits:
Users that are interested in pytorch_bits are comparing it to the libraries listed below
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- ☆92Updated 7 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆50Updated 7 years ago
- A PyTorch implementation of fast-wavenet☆91Updated 6 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆77Updated 7 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆76Updated 8 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 6 years ago
- examples of Neural Autoregressive Flows☆13Updated 6 years ago
- Professor Forcing, NIPS'16☆46Updated 7 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆115Updated 8 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆183Updated last year
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆41Updated 5 years ago
- Basic experiment framework for tensorflow.☆92Updated 3 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆136Updated 3 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 4 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 4 years ago
- Understanding normalizing flows☆131Updated 5 years ago
- Several implementations of the kernel-based activation functions☆61Updated 5 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Implementation of soft dynamic time warping in pytorch☆100Updated 3 years ago
- Code for the "Binding via Reconstruction Clustering" paper☆21Updated 9 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- ZForcing Repo☆40Updated 7 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 6 years ago