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:
- ☆37Updated 4 years ago
- ☆54Updated 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
- ☆133Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- ☆19Updated 3 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92Updated last year
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 3 years ago
- ☆38Updated 2 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆37Updated 3 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- ☆100Updated 4 years ago
- Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair☆52Updated 2 years ago
- Code for "Supermasks in Superposition"☆125Updated 2 years ago
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- ☆23Updated 3 years ago
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆66Updated 7 months ago
- ☆45Updated 5 years ago
- CIFAR-5m dataset☆40Updated 5 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆154Updated 3 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆109Updated 2 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 5 years ago
- Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction☆36Updated 3 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Updated 5 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆191Updated last year
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆72Updated last year