Statistics for topic explainable-ai
RepositoryStats tracks 595,857 Github repositories, of these 171 are tagged with the explainable-ai topic. The most common primary language for repositories using this topic is Python (89). Other languages include: Jupyter Notebook (40)
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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
Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Curated list of open source tooling for data-centric AI on unstructured data.
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!!
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libr...
[EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"
Variants of Vision Transformer and its downstream tasks
GraphXAI: Resource to support the development and evaluation of GNN explainers
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!!
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libr...
The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classif...
[EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"
[NeurIPS 2024] Official implementation of the paper "MambaLRP: Explaining Selective State Space Sequence Models".
Code for ACL 2024 paper "TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space"
[EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"
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!!
A list of (post-hoc) XAI for time series
[ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
SIDU: SImilarity Difference and Uniqueness method for explainable AI
Carefully curated list of awesome data science resources.