Statistics for topic explainable-ai
RepositoryStats tracks 567,267 Github repositories, of these 163 are tagged with the explainable-ai topic. The most common primary language for repositories using this topic is Python (84). Other languages include: Jupyter Notebook (38)
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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
Causal discovery algorithms and tools for implementing new ones
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
[EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"
SIDU: SImilarity Difference and Uniqueness method for explainable AI
Code for ACL 2024 paper "TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space"
Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform ...
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
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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 ...
[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
[CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
Carefully curated list of awesome data science resources.
SIDU: SImilarity Difference and Uniqueness method for explainable AI