microsoft / vision-explanation-methodsLinks
Methods for creating saliency maps for computer vision models.
☆43Updated 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 7 months ago
- Library for the Test-based Calibration Error (TCE) metric to quantify the degree to classifier calibration.☆13Updated 2 years ago
- Repository for the paper Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning☆36Updated 2 years ago
- 👋 Code for : "CRAFT: Concept Recursive Activation FacTorization for Explainability" (CVPR 2023)☆68Updated 2 years ago
- Simplify Your Visual Data Ops. Find and visualize issues with your computer vision datasets such as duplicates, anomalies, data leakage, …☆68Updated 5 months ago
- ☆36Updated 2 years ago
- Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment☆31Updated 2 years ago
- ☆75Updated 2 years ago
- Load any clip model with a standardized interface☆21Updated 2 weeks ago
- PyTorch implementation of Soft MoE by Google Brain in "From Sparse to Soft Mixtures of Experts" (https://arxiv.org/pdf/2308.00951.pdf)☆78Updated 2 years ago
- 🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet☆186Updated 2 years ago
- API Client for paperswithcode.com☆184Updated last year
- ☆129Updated 2 years ago
- Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind☆68Updated last year
- Timm model explorer☆42Updated last year
- A Python library for rapid prototyping, experimenting, and logging of federated learning using state-of-the-art models and datasets. Buil…☆42Updated last year
- Recycling diverse models☆46Updated 2 years ago
- ☆17Updated last year
- Experimental scripts for researching data adaptive learning rate scheduling.☆22Updated 2 years ago
- NEVIS'22: Benchmarking the next generation of never-ending learners☆102Updated 2 years ago
- TF2 implementation of knowledge distillation using the "function matching" hypothesis from https://arxiv.org/abs/2106.05237.☆88Updated 4 years ago
- companion code for "Learning to substitute Ingredients in Recipes"☆27Updated 2 years ago
- [NeurIPS 2022] code for "K-LITE: Learning Transferable Visual Models with External Knowledge" https://arxiv.org/abs/2204.09222☆51Updated 2 years ago
- Patching open-vocabulary models by interpolating weights☆91Updated 2 years ago
- A tiny package supporting distributed computation of COCO metrics for PyTorch models.☆15Updated 2 years ago
- Gradient Boosting Reinforcement Learning (GBRL)☆121Updated 2 months ago
- Repository for the paper: "TiC-CLIP: Continual Training of CLIP Models" ICLR 2024☆106Updated last year
- A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop …☆192Updated 4 months ago