QUANTA-github / information-geometryLinks
Information Geometry
☆12Updated 4 years ago
Alternatives and similar repositories for information-geometry
Users that are interested in information-geometry are comparing it to the libraries listed below
Sorting:
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 7 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- 3D Roto-translation equivariant convolutions☆54Updated 7 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 10 years ago
- Notebooks for IPAM Tutorial, March 15 2019☆24Updated 6 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Updated 7 years ago
- Deep convolutional gaussian processes.☆82Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated 2 years ago
- ☆82Updated 8 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- ☆25Updated 3 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆184Updated 7 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 7 years ago
- Code for the Santa algorithm for deep learning☆17Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- ☆47Updated 6 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 9 years ago
- ☆42Updated 6 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- CUDA extension for the SPORCO project☆18Updated 4 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆92Updated 7 years ago