google-deepmind / mc_gradientsLinks
☆170Updated last year
Alternatives and similar repositories for mc_gradients
Users that are interested in mc_gradients are comparing it to the libraries listed below
Sorting:
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated 2 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- ☆59Updated 6 years ago
- Convolutional Neural Tangent Kernel☆112Updated 5 years ago
- Hypergradient descent☆149Updated last year
- Limitations of the Empirical Fisher Approximation☆48Updated 7 months ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- ☆80Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆73Updated 9 years ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆247Updated 5 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year