harsh306 / awesome-nn-optimizationLinks
Awesome list for Neural Network Optimization methods.
☆81Updated 11 months ago
Alternatives and similar repositories for awesome-nn-optimization
Users that are interested in awesome-nn-optimization are comparing it to the libraries listed below
Sorting:
- ☆105Updated 5 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Create animations for the optimization trajectory of neural nets☆163Updated 2 years ago
- ☆68Updated 6 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92Updated last year
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆66Updated 5 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆117Updated 5 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆47Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆79Updated 6 years ago
- Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).☆116Updated 6 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆82Updated last year
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆173Updated 6 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆50Updated 4 years ago
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆103Updated 3 months ago
- This repository contains code released by DiffEqML Research☆92Updated 3 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆219Updated last week
- Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning☆45Updated 7 years ago
- PyTorch implementation of FIM and empirical FIM☆60Updated 7 years ago
- ☆133Updated 4 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆50Updated 4 years ago
- Package for working with hypernetworks in PyTorch.☆131Updated 2 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 6 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆109Updated 5 years ago
- Hypergradient descent☆147Updated last year
- Calibration of Convolutional Neural Networks☆171Updated 2 years ago
- Code for "Supermasks in Superposition"☆125Updated 2 years ago
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆66Updated 7 months ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago