gbaydin / hypergradient-descentLinks
Hypergradient descent
☆148Updated last year
Alternatives and similar repositories for hypergradient-descent
Users that are interested in hypergradient-descent are comparing it to the libraries listed below
Sorting:
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆113Updated 6 years ago
- ☆123Updated last year
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆146Updated last year
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆139Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- ☆180Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆76Updated 6 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- Memory efficient MAML using gradient checkpointing☆84Updated 5 years ago
- Understanding normalizing flows☆132Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆143Updated last year
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆81Updated 5 years ago
- ☆133Updated 7 years ago
- hessian in pytorch☆187Updated 4 years ago
- NTK reading group☆87Updated 5 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆92Updated 4 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 6 years ago
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 3 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆71Updated 8 years ago
- ☆168Updated 10 months ago
- ☆67Updated 6 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆138Updated 4 years ago