gdebie / stochastic-deep-networks
Stochastic Deep Networks
☆17Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for stochastic-deep-networks
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- A differentiation API for PyTorch☆30Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Autoregressive Energy Machines☆77Updated 2 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 3 years ago
- ☆32Updated 6 years ago
- ☆45Updated 5 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 6 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 6 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆42Updated 4 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 6 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆41Updated 5 years ago
- Layered distributions using FLAX/JAX☆10Updated 3 years ago
- Lagrangian VAE☆28Updated 6 years ago
- ☆26Updated 5 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 5 years ago
- ☆38Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- The Limited Multi-Label Projection Layer☆57Updated 3 months ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆33Updated last year
- ☆37Updated 5 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago