An implementation of KFAC for TensorFlow
☆199Feb 11, 2022Updated 4 years ago
Alternatives and similar repositories for kfac
Users that are interested in kfac are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆133Jul 2, 2019Updated 6 years ago
- ☆26Aug 30, 2021Updated 4 years ago
- ☆135Oct 23, 2017Updated 8 years ago
- Natural Gradient, Variational Inference☆29Jan 13, 2020Updated 6 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆153Jun 22, 2023Updated 2 years ago
- A Chainer extension for K-FAC☆20Jun 16, 2019Updated 6 years ago
- Regularization, Neural Network Training Dynamics☆14Jan 13, 2020Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Jan 12, 2019Updated 7 years ago
- Limitations of the Empirical Fisher Approximation☆49Mar 3, 2025Updated last year
- ☆24Sep 28, 2021Updated 4 years ago
- Distributed K-FAC preconditioner for PyTorch☆95Mar 11, 2026Updated last week
- Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/☆30Jun 6, 2024Updated last year
- This repository is no longer maintained. Check☆81Apr 23, 2020Updated 5 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆606Nov 28, 2025Updated 3 months ago
- SKFAC Preconditioner for MindSpore☆12Jul 2, 2021Updated 4 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆149Oct 1, 2023Updated 2 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆61Jun 18, 2019Updated 6 years ago
- ☆15Feb 17, 2018Updated 8 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Mar 8, 2018Updated 8 years ago
- [Deprecated] The TensorFlow Profiler (TFProf) UI provides a visual interface for profiling TensorFlow models.☆136Sep 10, 2019Updated 6 years ago
- ☆25Dec 2, 2020Updated 5 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆285Feb 27, 2023Updated 3 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Apr 27, 2021Updated 4 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆143May 26, 2019Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Mar 3, 2020Updated 6 years ago
- Actor Critic using Kronecker-Factored Trust Region☆19Jul 3, 2018Updated 7 years ago
- Lua implementation of Entropy-SGD☆81Apr 9, 2018Updated 7 years ago
- Utilities for passing TensorFlow-related metadata between tools☆112Jan 23, 2026Updated last month
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆10Nov 14, 2017Updated 8 years ago
- Implementation of the paper 'Stochastic Wasserstein Barycenters'☆11Oct 17, 2018Updated 7 years ago
- A benchmark framework for Tensorflow☆1,145Oct 6, 2023Updated 2 years ago
- ☆33May 21, 2020Updated 5 years ago
- ☆24Mar 1, 2022Updated 4 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆122Sep 1, 2018Updated 7 years ago
- Python 3.6 and TensorFlow implementation of the AReS and MaRS algorithms☆11Jun 23, 2019Updated 6 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Jun 28, 2019Updated 6 years ago
- ☆12Oct 8, 2020Updated 5 years ago
- QMCPACK Users Workshop 2019☆13May 24, 2019Updated 6 years ago
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆317Updated this week