y0ast / pytorch-snippetsLinks
Collection of snippets for PyTorch users
☆25Updated 3 years ago
Alternatives and similar repositories for pytorch-snippets
Users that are interested in pytorch-snippets are comparing it to the libraries listed below
Sorting:
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- ☆133Updated 4 years ago
- ☆37Updated 3 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆65Updated 5 years ago
- Last-layer Laplace approximation code examples☆84Updated 3 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- ☆100Updated 3 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆106Updated last year
- A Machine Learning workflow for Slurm.☆150Updated 4 years ago
- ☆54Updated last year
- ☆19Updated 3 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- ☆37Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆183Updated 4 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Updated 3 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- ModelDiff: A Framework for Comparing Learning Algorithms☆59Updated 2 years ago
- Code for "Supermasks in Superposition"☆124Updated last year
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last week
- Structured matrices for compressing neural networks☆67Updated last year
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆180Updated this week
- Create animations for the optimization trajectory of neural nets☆159Updated last year
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆189Updated 9 months ago
- ☆47Updated 2 years ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated last year