mctorch / mctorchLinks
A manifold optimization library for deep learning
☆245Updated 3 years ago
Alternatives and similar repositories for mctorch
Users that are interested in mctorch are comparing it to the libraries listed below
Sorting:
- Optimization with orthogonal constraints and on general manifolds☆128Updated 4 years ago
- hessian in pytorch☆187Updated 4 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Manifold-learning flows (ℳ-flows)☆229Updated 4 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆443Updated 7 years ago
- A PyTorch library for two-sample tests☆240Updated 2 years ago
- Pytorch implementation of Neural Processes for functions and images☆230Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 4 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆235Updated 6 years ago
- PyTorch implementation of Neural Processes☆88Updated 6 years ago
- Deep neural network kernel for Gaussian process☆207Updated 4 years ago
- paper lists and information on mean-field theory of deep learning☆77Updated 6 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆139Updated 4 years ago
- ☆180Updated 5 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆56Updated 6 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆374Updated last year
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Code for Neural Spline Flows paper☆275Updated 5 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆175Updated 5 years ago
- ☆269Updated 2 years ago
- ☆168Updated 10 months ago
- A PyTorch implementation of L-BFGS.☆602Updated 2 years ago
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆143Updated 2 years ago
- Hypergradient descent☆148Updated last year
- Pytorch implementation of Block Neural Autoregressive Flow☆179Updated 3 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated last year
- ☆214Updated 3 years ago