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30 search results found

Deep Learning Drizzle ⭐ 10,767

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Pytorch Grad Cam ⭐ 8,723

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

Transformers Interpret ⭐ 1,090

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

Iccv 2023 Papers ⭐ 806

ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

Awesome Open Data Centric Ai ⭐ 630

Curated list of open source tooling for data-centric AI on unstructured data.

Datascience_artificialintelligence_utils ⭐ 369

Examples of Data Science projects and Artificial Intelligence use-cases

Cnn Exposed ⭐ 157

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

Diffusers Interpret ⭐ 143

Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.

Seggradcam ⭐ 83

SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping

Awesome Vision Transformer Collection ⭐ 81

Variants of Vision Transformer and its downstream tasks

Prototree ⭐ 46

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

Yolo Heatmaps ⭐ 32

A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).

Xai_thyroid ⭐ 24

All Classification and Object Detection XAI methods (CAM-based, backpropagation-based, perturbation-based, statistic-based) for thyroid cancer ultrasound images

a framework for Automated Classification of Medical Images

Protopformer ⭐ 17

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition

Whitebox Part1 ⭐ 16

In this part, i've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

This is an official implementation for INTR: Interpretable Transformer for Fine-grained Image Classification

Awesome Prototype Based Papers ⭐ 15

This is a list of awesome prototype-based papers for explainable artificial intelligence.

Videorlcs ⭐ 12

Learning to Identify Critical States for Reinforcement Learning from Videos (Accepted to ICCV'23)

Icml 2023 Route Interpret Repeat ⭐ 12

Official repository of ICML 2023 paper: Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat

Survey Attention Medical Imaging ⭐ 10

Implementation of the paper "A survey on attention mechanisms for medical applications: are we moving towards better algorithms?" by Tiago Gonçalves, Isabel Rio-Torto, Luís F. Teixeira and Jaime S. Cardoso.

Differential_ig ⭐ 10

Source code for the differential saliency method used in "Re-understanding Finite-State Representations of Recurrent Policy Networks"

Explainable Models With Consistent Interpretations ⭐ 8

Official repository for the AAAI-21 paper 'Explainable Models with Consistent Interpretations'

Comprehensible Convolutional Neural Networks via Guided Concept Learning

Visual Inspection ⭐ 5

Explainable Defect Detection using Convolutional Neural Networks: Case Study

Official Repo of the paper "Explaining Image Enhancement Black-Box Methods through a Path Planning Based Algorithm".

Deep Learning Resources ⭐ 5

Curated list of DL Resources [Updated 2019]

Keras Explainable ⭐ 5

Efficient explaining AI algorithms for Keras models

Visualime ⭐ 5

Implementation of LIME focused on producing user-centric local explanations for image classifiers.

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