microsoft / vision-explanation-methodsLinks
Methods for creating saliency maps for computer vision models.
☆42Updated last year
Alternatives and similar repositories for vision-explanation-methods
Users that are interested in vision-explanation-methods are comparing it to the libraries listed below
Sorting:
- A light-weight implementation of ICCV2023 paper "Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Rei…☆83Updated 2 years ago
- ☆59Updated last year
- ☆19Updated 6 months ago
- Library for the Test-based Calibration Error (TCE) metric to quantify the degree to classifier calibration.☆13Updated 2 years ago
- Presents comprehensive benchmarks of XLA-compatible pre-trained models in Keras.☆37Updated 2 years ago
- ☆36Updated 2 years ago
- Recycling diverse models☆45Updated 2 years ago
- ☆75Updated 2 years ago
- Contrastive Language-Image Pretraining☆38Updated last year
- NEVIS'22: Benchmarking the next generation of never-ending learners☆102Updated 2 years ago
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆68Updated last year
- ☆129Updated 2 years ago
- Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).☆122Updated 2 years ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆67Updated 2 years ago
- A dashboard for exploring timm learning rate schedulers☆19Updated 10 months ago
- Automatic identification of regions in the latent space of a model that correspond to unique concepts, namely to concepts with a semantic…☆14Updated last year
- Load any clip model with a standardized interface☆21Updated last week
- Repository for the paper Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning☆36Updated 2 years ago
- Latest Weight Averaging (NeurIPS HITY 2022)☆31Updated 2 years ago
- ML/DL Math and Method notes☆64Updated last year
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago
- [NeurIPS 2022] Official PyTorch implementation of Optimizing Relevance Maps of Vision Transformers Improves Robustness. This code allows …☆132Updated 2 years ago
- Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, …☆69Updated 5 months ago
- Code for paper: "Privately generating tabular data using language models".☆15Updated 2 years ago
- A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop …☆191Updated 4 months ago
- 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet☆186Updated 2 years ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated 11 months ago
- Lightweight Deep Learning Model Training library based on PyTorch☆32Updated 3 years ago
- Timm model explorer☆42Updated last year
- Just some miscellaneous utility functions / decorators / modules related to Pytorch and Accelerate to help speed up implementation of new…☆123Updated last year