jpeg729 / pytorch_bitsLinks
☆80Updated 7 years ago
Alternatives and similar repositories for pytorch_bits
Users that are interested in pytorch_bits are comparing it to the libraries listed below
Sorting:
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆186Updated last year
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Dilated RNNs in pytorch☆213Updated 6 years ago
- Several implementations of the kernel-based activation functions☆62Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆66Updated 5 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 8 years ago
- MADE: Masked Autoencoder for Distribution Estimation☆102Updated 5 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- ☆116Updated last year
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- The Statistical Recurrent Unit in Pytorch☆33Updated 7 years ago
- Deep variational inference in tensorflow☆56Updated 7 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Updated 8 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆76Updated 8 years ago
- Basic experiment framework for tensorflow.☆91Updated 4 years ago
- Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al☆115Updated 6 years ago
- Experiments with differentiable stacks and queues in PyTorch☆142Updated 5 years ago
- ☆24Updated 5 years ago
- Implementation of soft dynamic time warping in pytorch☆99Updated 3 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago