lapalap / doraLinks
GitHub repository for DORA: Data-agnOstic Representation Analysis paper. DORA allows to find outlier representations in Deep Neural Networks.
☆29Updated 2 years ago
Alternatives and similar repositories for dora
Users that are interested in dora are comparing it to the libraries listed below
Sorting:
- A library to inspect and extract intermediate layers of PyTorch models.☆473Updated 3 years ago
- ☆139Updated last year
- 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet☆185Updated 2 years ago
- Flexible Feature visualization on PyTorch, for research and art☆242Updated 4 months ago
- FFCV-SSL Fast Forward Computer Vision for Self-Supervised Learning.☆208Updated 2 years ago
- Probing the representations of Vision Transformers.☆328Updated 2 years ago
- Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)☆233Updated 3 years ago
- An alternative to convolution in neural networks☆256Updated last year
- Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"☆487Updated 2 years ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆37Updated last year
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆335Updated 2 years ago
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆251Updated 2 years ago
- The spiritual successor to knockknock for PyTorch Lightning, get notified when your training ends☆77Updated 8 months ago
- A toolkit for quantitative evaluation of data attribution methods.☆53Updated 3 weeks ago
- ☆208Updated 2 years ago
- Simple easy to use module to get the intermediate values/activations from chosen Pytorch submodules. Supports submodule annidation and se…☆60Updated 5 years ago
- Lucid library adapted for PyTorch☆639Updated 4 months ago
- Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory☆437Updated 11 months ago
- Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.☆229Updated last week
- Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.☆322Updated 2 years ago
- PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)☆108Updated 3 years ago
- Code release for "Dropout Reduces Underfitting"☆314Updated 2 years ago
- ☆185Updated last year
- Train ImageNet *fast* in 500 lines of code with FFCV☆144Updated last year
- ☆121Updated 3 years ago
- Configuration classes enabling type-safe PyTorch configuration for Hydra apps☆221Updated 2 years ago
- Source Code of the ROAD benchmark for feature attribution methods (ICML22)☆23Updated 2 years ago
- A collection of code snippets for my PyTorch Lightning projects☆108Updated 4 years ago
- Collection of PyTorch Lightning implementations of Generative Adversarial Network varieties presented in research papers.☆169Updated 4 months ago
- 👋 Xplique is a Neural Networks Explainability Toolbox☆696Updated 10 months ago