99991 / cifar10-fast-simpleLinks
Train CIFAR10 to 94% accuracy in a few minutes/seconds. Based on https://github.com/davidcpage/cifar10-fast
☆22Updated 2 years ago
Alternatives and similar repositories for cifar10-fast-simple
Users that are interested in cifar10-fast-simple are comparing it to the libraries listed below
Sorting:
- Efficient PyTorch Hessian eigendecomposition tools!☆376Updated last year
- ☆157Updated 3 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆274Updated 2 years ago
- NTK reading group☆87Updated 5 years ago
- ☆192Updated 4 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last week
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- ☆60Updated 2 years ago
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)☆17Updated 6 years ago
- ☆83Updated 5 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆57Updated 5 years ago
- Create animations for the optimization trajectory of neural nets☆158Updated last year
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆752Updated last month
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 5 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- Butterfly matrix multiplication in PyTorch☆174Updated last year
- PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from s…☆35Updated 3 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- A drop-in replacement for CIFAR-10.☆243Updated 4 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆96Updated last month
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆278Updated 2 years ago
- ☆67Updated 6 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆189Updated 8 months ago
- Python library for argument and configuration management☆55Updated 2 years ago
- ☆226Updated last year