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Search results for explainable ai
explainable-ai
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301 search results found
Deep Learning Drizzle
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10,767
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Pytorch Grad Cam
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8,723
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Interpret
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5,992
Fit interpretable models. Explain blackbox machine learning.
Sahi
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3,340
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Tensorwatch
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3,333
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Giskard
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2,509
๐ข The testing framework for ML models, from tabular to LLMs
Awesome Explainable Graph Reasoning
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1,805
A collection of research papers and software related to explainability in graph machine learning.
Pysr
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1,580
High-Performance Symbolic Regression in Python and Julia
Aix360
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1,533
Interpretability and explainability of data and machine learning models
Dice
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1,257
Generate Diverse Counterfactual Explanations for any machine learning model.
Dalex
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1,242
moDel Agnostic Language for Exploration and eXplanation
Imodels
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1,229
Interpretable ML package ๐ for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Awesome Explainable Ai
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1,208
A collection of research materials on explainable AI/ML
Responsible Ai Toolbox
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1,187
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 libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Transformers Interpret
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1,090
Model explainability that works seamlessly with ๐ค transformers. Explain your transformers model in just 2 lines of code.
Xai
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1,060
XAI - An eXplainability toolbox for machine learning
Awesome Interpretable Machine Learning
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856
Iccv 2023 Papers
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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. โญ support visual intelligence development!
Lofo Importance
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785
Leave One Feature Out Importance
Omnixai
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674
OmniXAI: A Library for eXplainable AI
Awesome Open Data Centric Ai
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630
Curated list of open source tooling for data-centric AI on unstructured data.
Daam
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545
Diffusion attentive attribution maps for interpreting Stable Diffusion.
Xplique
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522
๐ Xplique is a Neural Networks Explainability Toolbox
Ml_privacy_meter
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501
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
Traceml
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493
Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Transformer Mm Explainability
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490
[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
Awesome Graph Explainability Papers
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486
Papers about explainability of GNNs
Fasttreeshap
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485
Fast SHAP value computation for interpreting tree-based models
Symbolicregression.jl
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484
Distributed High-Performance Symbolic Regression in Julia
Facet
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483
Human-explainable AI.
Quantus
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460
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
Machine_learning_tutorials
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421
Code, exercises and tutorials of my personal blog ! ๐
Aspect Based Sentiment Analysis
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413
๐ญ Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
Explainx
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375
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @
[email protected]
Datascience_artificialintelligence_utils
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369
Examples of Data Science projects and Artificial Intelligence use-cases
Modelstudio
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305
๐ Interactive Studio for Explanatory Model Analysis
Automated Fact Checking Resources
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303
Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
Tf Keras Vis
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286
Neural network visualization toolkit for tf.keras
Vit Explain
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260
Explainability for Vision Transformers
Inseq
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254
Interpretability for sequence generation models ๐ ๐
Adversarial Explainable Ai
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235
๐ก Adversarial attacks on explanations and how to defend them
Awesome Agi Cocosci
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225
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
Carla
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216
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Shapley
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198
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Explainable Cnn
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196
๐ฆ PyTorch based visualization package for generating layer-wise explanations for CNNs.
Whitebox
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184
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
Openxai
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178
OpenXAI : Towards a Transparent Evaluation of Model Explanations
Cnn Exposed
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157
๐ต๏ธโโ๏ธ Interpreting Convolutional Neural Network (CNN) Results.
Zennit
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151
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
Diffusers Interpret
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143
Diffusers-Interpret ๐ค๐งจ๐ต๏ธโโ๏ธ: Model explainability for ๐ค Diffusers. Get explanations for your generated images.
Awesome Explanatory Supervision
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142
List of relevant resources for machine learning from explanatory supervision
Path_explain
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134
A repository for explaining feature attributions and feature interactions in deep neural networks.
Shapr
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130
Explaining the output of machine learning models with more accurately estimated Shapley values
Graphxai
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128
GraphXAI: Resource to support the development and evaluation of GNN explainers
Hierarchical Dnn Interpretations
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119
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" ๐ง (ICLR 2019)
Xaience
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100
All about explainable AI, algorithmic fairness and more
Website
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97
User documentation for KServe.
Explainableai.jl
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96
Explainable AI in Julia.
Fastshap
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96
Fast approximate Shapley values in R
Counterfactualexplanations.jl
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92
A package for Counterfactual Explanations and Algorithmic Recourse in Julia.
Sagemaker Explaining Credit Decisions
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87
Amazon SageMaker Solution for explaining credit decisions.
Tsinterpret
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83
An Open-Source Library for the interpretability of time series classifiers
Seggradcam
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83
SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
Dialogue Understanding
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82
This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study
Rrl
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82
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 Classification"
Cade
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81
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
Awesome Vision Transformer Collection
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81
Variants of Vision Transformer and its downstream tasks
Zennit Crp
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80
An eXplainable AI toolkit with Concept Relevance Propagation and Relevance Maximization
Pytorch_explain
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80
PyTorch Explain: Logic Explained Networks in Python.
Survex
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79
Explainable Machine Learning in Survival Analysis
Deep Explanation Penalization
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74
Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
Neurox
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73
A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.
Treeshap
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72
Compute SHAP values for your tree-based models using the TreeSHAP algorithm
Xnm Net
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69
Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "
Machine Learning
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68
Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.
Ml Fairness Framework
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68
FairPut - Machine Learning Fairness Framework with LightGBM โ Explainability, Robustness, Fairness (by @firmai)
Aletheia
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67
A Python package for unwrapping ReLU DNNs
Grasp
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66
Essential NLP & ML, short & fast pure Python code
Cinnamon
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66
CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
Survshap
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65
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Fat Forensics
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63
Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
Awesome Shapley Value
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63
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
Da_visualization
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62
[CVPR2021] "Visualizing Adapted Knowledge in Domain Transfer". Visualization for domain adaptation. #explainable-ai
S3bert
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61
Semantically Structured Sentence Embeddings
Conceptor
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61
Official implementation of the paper The Hidden Language of Diffusion Models
Machine Learning For High Risk Applications Book
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60
Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
Cxplain
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59
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
Expmrc
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59
ExpMRC: Explainability Evaluation for Machine Reading Comprehension
Iba
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58
Information Bottlenecks for Attribution
Shapviz
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57
R package for SHAP plots
Interpretability By Parts
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55
[CVPR 2020 Oral] Interpretable and Accurate Fine-grained Recognition via Region Grouping
Representer_point_selection
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53
code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018
Visner
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52
In the wild extraction of entities that are found using Flair and displayed using a very elegant front-end.
Fast Tsetlin Machine With Mnist Demo
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52
A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.
Azimuth
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50
Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.
Xaiaterum2020
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49
Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020
Xplainable
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48
Real-time explainable machine learning for business optimisation
Xaitk Saliency
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48
An open source, Explainable AI (XAI) framework and toolkit for visual saliency algorithm interfaces and implementations, built for analytics and autonomy applications.
Prototree
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46
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Neuro Symbolic Sudoku Solver
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44
โ๏ธ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
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