sdrobert / pydrobert-pytorchLinks
PyTorch utilities for ML, specifically speech
☆13Updated 2 years ago
Alternatives and similar repositories for pydrobert-pytorch
Users that are interested in pydrobert-pytorch are comparing it to the libraries listed below
Sorting:
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- ☆30Updated 4 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 6 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆152Updated 2 years ago
- ☆153Updated 5 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆129Updated last year
- [ICML 2024] SIRFShampoo: Structured inverse- and root-free Shampoo in PyTorch (https://arxiv.org/abs/2402.03496)☆15Updated last year
- Pytorch implementation of the Power Spherical distribution☆75Updated last year
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆191Updated last year
- A Machine Learning workflow for Slurm.☆152Updated 5 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆190Updated last month
- ☆181Updated 6 years ago
- ☆35Updated 4 years ago
- ☆100Updated 4 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆219Updated this week
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆62Updated this week
- CUDA kernels for generalized matrix-multiplication in PyTorch☆85Updated 4 years ago
- Hessian spectral density estimation in TF and Jax☆125Updated 5 years ago
- Pytorch implementation of Localised Generative Flows☆11Updated 5 years ago
- Reweighted Expectation Maximization☆29Updated 6 years ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆249Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- ☆33Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆49Updated 11 months ago
- Efficient PyTorch Hessian eigendecomposition tools!☆384Updated last year
- Silly twitter torch implementations.☆46Updated 3 years ago