This repository is no longer maintained. Check
☆81Apr 23, 2020Updated 6 years ago
Alternatives and similar repositories for backpack
Users that are interested in backpack are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆619Jul 17, 2026Updated 3 months ago
- Limitations of the Empirical Fisher Approximation☆50Mar 3, 2025Updated last year
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆61Jan 12, 2019Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆38Mar 8, 2018Updated 8 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28May 13, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Feb 14, 2020Updated 6 years ago
- Regularization, Neural Network Training Dynamics☆14Jan 13, 2020Updated 6 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆150Oct 1, 2023Updated 3 years ago
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Jun 11, 2019Updated 7 years ago
- hessian in pytorch☆187Oct 27, 2020Updated 6 years ago
- ☆32Feb 11, 2021Updated 5 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Dec 16, 2016Updated 9 years ago
- Natural Gradient, Variational Inference☆29Jan 13, 2020Updated 6 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22May 5, 2019Updated 7 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- [ICML 2024] SIRFShampoo: Structured inverse- and root-free Shampoo in PyTorch (https://arxiv.org/abs/2402.03496)☆15Nov 4, 2024Updated 2 years ago
- ☆33May 21, 2020Updated 6 years ago
- An empirical investigation of deep learning theory☆16Oct 3, 2019Updated 7 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Jul 20, 2018Updated 8 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆62Jun 18, 2019Updated 7 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆87Jul 19, 2020Updated 6 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆154Jun 22, 2023Updated 3 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Nov 26, 2018Updated 7 years ago
- ☆19Apr 2, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Mar 3, 2020Updated 6 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆135Jul 2, 2019Updated 7 years ago
- [ICML 2024] SINGD: KFAC-like Structured Inverse-Free Natural Gradient Descent (http://arxiv.org/abs/2312.05705)☆24Nov 4, 2024Updated 2 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆193Dec 5, 2024Updated last year
- Source code for paper "Trajectory of Alternating Direction Method of Multipliers and Adaptive Acceleration" of NeurIPS 2019☆10Jan 25, 2024Updated 2 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆20Apr 1, 2022Updated 4 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆60May 11, 2019Updated 7 years ago
- Large-batch Training, Neural Network Optimization☆11Nov 8, 2019Updated 6 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆192Sep 28, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆25Mar 1, 2022Updated 4 years ago
- ☆24Feb 3, 2019Updated 7 years ago
- Meta-learning by applying MAML to an inner variational auto-encoder to automatically learn generative models with few examples☆11Jan 16, 2019Updated 7 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- A Python implementation of the gradient REBAR estimator.☆47Jun 13, 2018Updated 8 years ago
- ☆154May 25, 2020Updated 6 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆122Sep 1, 2018Updated 8 years ago