jphall663/awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

Size: 4.45 MB - Last synced at: 2 days ago - Pushed at: 28 days ago - Stars: 3,783 - Forks: 599

jacobgil/pytorch-grad-cam

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

Language: Python - Size: 134 MB - Last synced at: 4 days ago - Pushed at: about 1 month ago - Stars: 11,610 - Forks: 1,635

Xild076/ETSA--QC-

Tools to incorporate Entity Targeted Sentiment

Language: Python - Size: 736 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 0

pytorch/captum

Model interpretability and understanding for PyTorch

Language: Python - Size: 306 MB - Last synced at: 2 days ago - Pushed at: 8 days ago - Stars: 5,209 - Forks: 517

interpretml/interpret

Fit interpretable models. Explain blackbox machine learning.

Language: C++ - Size: 14.7 MB - Last synced at: 4 days ago - Pushed at: 21 days ago - Stars: 6,486 - Forks: 746

innoisys/epu-cnn-torch

This is a PyTorch implementation of "E pluribus unum interpretable convolutional neural networks"

Language: Python - Size: 408 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

AthenaCore/AwesomeResponsibleAI

A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podcasts, reports, tools, regulations and standards related to Responsible, Trustworthy, and Human-Centered AI.

Size: 1.05 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 71 - Forks: 14

wangyongjie-ntu/Awesome-explainable-AI

A collection of research materials on explainable AI/ML

Language: Markdown - Size: 1.93 MB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 1,494 - Forks: 203

pietrobarbiero/pytorch_explain

PyTorch Explain: Interpretable Deep Learning in Python.

Language: Jupyter Notebook - Size: 42.1 MB - Last synced at: 5 days ago - Pushed at: 12 months ago - Stars: 154 - Forks: 14

chr5tphr/zennit

Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Language: Python - Size: 2.28 MB - Last synced at: 4 days ago - Pushed at: 10 months ago - Stars: 225 - Forks: 34

bgreenwell/ebm

Explainable Boosting Machines

Language: R - Size: 44.5 MB - Last synced at: 8 days ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

lopusz/awesome-interpretable-machine-learning

Language: Python - Size: 1.47 MB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 916 - Forks: 139

ChangeunKim/CB_APM

This repository contains the code implementation of the paper titled "A Consensus-Bottleneck Asset Pricing Model.

Language: Python - Size: 853 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 2 - Forks: 0

linkedin/TE2Rules

Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.

Language: Python - Size: 10.9 MB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 55 - Forks: 6

DavidF-22/ARI3205-InterpretableAI_Project

This repository contains the entire codebase for the Interpretable AI Group Project. This project focuses on exploring and implementing multiple interpretability techniques in machine learning models to enhance transparency and interpretability

Language: Jupyter Notebook - Size: 3.32 MB - Last synced at: 22 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

ajayarunachalam/Deep_XF

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Language: Jupyter Notebook - Size: 27.5 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 118 - Forks: 24

poppingtonic/transformer-visualization

Mechanistic Interpretability Tutorials, Results and research log as I learn from publicly available research, and experimentation.

Language: Jupyter Notebook - Size: 5.15 MB - Last synced at: 26 days ago - Pushed at: 27 days ago - Stars: 10 - Forks: 3

Julia-XAI/ExplainableAI.jl

Explainable AI in Julia.

Language: Julia - Size: 41.6 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 112 - Forks: 3

brain-intelligence-lab/MMCBM

A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data

Language: Python - Size: 32.9 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 3 - Forks: 0

ottenbreit-data-science/aplr

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.

Language: C++ - Size: 6.13 MB - Last synced at: 28 days ago - Pushed at: 29 days ago - Stars: 17 - Forks: 4

AadiSrivastava05/InterIIT_13.0_Adobe_IIT_Madras

The project introduces a two-stage framework for AI-generated image detection. The first stage employs a high-accuracy classification model to differentiate between real and synthetic images. The second stage integrates an interpretability framework that identifies and highlights visual artifacts, providing transparency in decision-making.

Language: Jupyter Notebook - Size: 378 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

explainX/explainx

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]

Language: Jupyter Notebook - Size: 61.3 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 430 - Forks: 56

hakeematyab/Reliable-Explainable-Brain-Tumor-Segmentation

A deep learning solution for brain tumor segmentation using multi-modal MRI scans, integrating U-Net models, differential privacy, adversarial training, and explainability (Grad-CAM, attention scores) for robust and trustworthy medical AI.

Language: Jupyter Notebook - Size: 31.6 MB - Last synced at: 28 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

n-bernold/bcos-stablediffusion Fork of Stability-AI/stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

Language: Python - Size: 72 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

jphall663/interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Language: Jupyter Notebook - Size: 34.7 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 676 - Forks: 207

ccomkhj/interpretable-lightgbm

SHAP explainer for LightGBM models - Generate feature importance plots, dependence plots, and prediction explanations with one line of code. Make your gradient boosting models interpretable for stakeholders.

Language: Python - Size: 0 Bytes - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

MarcoParola/pytorch-sidu

SIDU: SImilarity Difference and Uniqueness method for explainable AI

Language: Python - Size: 82 KB - Last synced at: 19 days ago - Pushed at: about 1 year ago - Stars: 47 - Forks: 0

naotoo1/Active-Learning-in-Imbalance-Classification

Code for the paper Learning on the border: active learning in imbalanced data classification.

Language: Python - Size: 60.5 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 1

naotoo1/Beyond-Neural-Scaling

Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models

Language: Python - Size: 117 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 33 - Forks: 3

sbartlett97/model-understanding

Playing around with understanding how different tokens affect the generation in LLMs

Language: Python - Size: 48.8 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

TooTouch/WhiteBox-Part1

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

Language: Jupyter Notebook - Size: 296 MB - Last synced at: 13 days ago - Pushed at: about 5 years ago - Stars: 39 - Forks: 16

weimin17/Multimodal_Transformer

A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction

Language: Python - Size: 10.9 MB - Last synced at: 9 days ago - Pushed at: almost 3 years ago - Stars: 31 - Forks: 4

naotoo1/nafes

A python project for prototype-based feature selection

Language: Python - Size: 788 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 2 - Forks: 2

naotoo1/prosemble

A python package for prototype-based machine learning models

Language: Python - Size: 921 KB - Last synced at: about 23 hours ago - Pushed at: 2 months ago - Stars: 7 - Forks: 0

zalkikar/mlm-bias

Measuring Biases in Masked Language Models for PyTorch Transformers. Support for multiple social biases and evaluation measures.

Language: Python - Size: 45.9 KB - Last synced at: 2 days ago - Pushed at: 5 months ago - Stars: 4 - Forks: 2

si-cim/cbc-aaai-2025

Deep CBC Models for Prototype Based Interpretability Benchmarks

Language: Python - Size: 1.65 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

toniodo/InterpretE

Code associated wth the InterpretE research paper: https://link.springer.com/chapter/10.1007/978-3-031-71170-1_17

Language: Jupyter Notebook - Size: 3.67 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

bytesc/data-copilot-steps

✨ 大语言模型 (LLM) 的可解释型自然语言数据库查询系统 (RAG) Interpretable Natural Language Database Query System (RAG) based on Large Language Models (LLM) ✨ 自然语言提问，使用大语言模型智能解析数据库结构，对数据进行智能多表结构化查询和统计计算，根据查询结果智能绘制多种图表。 生成链路过程完全开放可修改，可解释，实现可靠的自然语言数据分析。 Pywebio 交互式前端网页，不必须 openai api，100%纯 Python 代码。

Language: Python - Size: 966 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 1

moshafieeha/Machine-Learning-and-Deep-Learning-Mini-Projects

Hands-on projects that address various real-world Machine Learning and Deep Learning challenges.

Language: Jupyter Notebook - Size: 128 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

ClementSicard/Reliable-and-Trustworthy-AI-Notebooks

Reliable and Trustworthy Intelligence AI notebooks from ETH Zurich course taught by Prof. Dr. Martin Vechev

Language: Jupyter Notebook - Size: 28.3 KB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

kstrassheim/explain-ai

This web-app shows the functionality of the model-agnostic explainable-ai engine LIME on 3 common deep learning text classifiers (BERT, LSTM, TFIDF-NN) for fake news detection.

Language: Jupyter Notebook - Size: 118 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

fat-forensics/fat-forensics

Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

Language: Python - Size: 1.95 MB - Last synced at: 2 days ago - Pushed at: almost 2 years ago - Stars: 77 - Forks: 14

kb-open/CROMP

The official implementation of CROMP (Constrained Regression with Ordered and Margin-sensitive Parameters) along with experimental test pipeline

Language: Python - Size: 2.56 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

deepfx/netlens

A toolkit for interpreting and analyzing neural networks (vision)

Language: Jupyter Notebook - Size: 130 MB - Last synced at: 4 days ago - Pushed at: almost 5 years ago - Stars: 26 - Forks: 2

adaamko/POTATO

XAI based human-in-the-loop framework for automatic rule-learning.

Language: Jupyter Notebook - Size: 6.07 MB - Last synced at: 13 days ago - Pushed at: 10 months ago - Stars: 48 - Forks: 8

tony10101105/Locally-Interpretable-One-Class-Anomaly-Detection-for-Credit-Card-Fraud-Detection

[TAAI'21] Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection

Language: Jupyter Notebook - Size: 48.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 2

preyero/hate-speech-identities

Repository of the paper "Knowledge-Grounded Target Group Language Recognition in Hate Speech" (SEMANTiCS 2023).

Language: Python - Size: 24.7 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

willbakst/pytorch-lattice

A PyTorch implementation of constrained optimization and modeling techniques

Language: Python - Size: 1.19 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 30 - Forks: 1

lisette-espin/PovertyMaps

Interpreting wealth distribution via poverty map inference using multimodal data

Language: Jupyter Notebook - Size: 453 MB - Last synced at: 9 days ago - Pushed at: 4 months ago - Stars: 6 - Forks: 0

jphall663/jsm_2018_paper

Paper for 2018 Joint Statistical Meetings: https://ww2.amstat.org/meetings/jsm/2018/onlineprogram/AbstractDetails.cfm?abstractid=329539

Language: TeX - Size: 12.7 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 2

cwangrun/ST-ProtoPNet

[ICCV 2023] Learning Support and Trivial Prototypes for Interpretable Image Classification

Language: Python - Size: 841 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 20 - Forks: 2

dirediredock/Riskomon

Riskomon is an interactive visualization tool for the exploration of a Rashomon set of scoring system models—that is, a collection of equally-good risk score models—obtained from the FasterRisk algorithm.

Language: TypeScript - Size: 15.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

mdkhairulislam2/Timeseries-Explained Fork of khairulislam/Timeseries-Explained

Interpreting Timeseries using Local Interpretation methods

Language: Jupyter Notebook - Size: 639 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

koriavinash1/BioExp

Explainability of Deep Learning Models

Language: Python - Size: 542 MB - Last synced at: 15 days ago - Pushed at: about 2 years ago - Stars: 29 - Forks: 5

harryjdavies/HeartGPT

Interpretable Pre-Trained Transformers for Heart Time-Series Data

Language: Python - Size: 22 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 26 - Forks: 2

BirkhoffG/explainax 📦

JAX-based Model Explanation and Interpretation Library

Language: Jupyter Notebook - Size: 439 KB - Last synced at: 24 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

NREL/BUTTER-Clarifier

This repository contains a python package of neural network interpretability and explainablility methods, focusing on the latent space, that can be easily integrated into a keras training routine using a callback to compute and capture outputs of these methods during training.

Language: Python - Size: 15.6 KB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

navdeep-G/interpretable-ml

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Language: Jupyter Notebook - Size: 84.4 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 21 - Forks: 8

LennardZuendorf/thesis-webapp 📦

Webapp/Application implemention of my thesis about XAI and Interpretability of Transformer Models.

Language: Python - Size: 488 KB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

braindatalab/xai-tris

XAI-Tris

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 3 - Forks: 2

roye10/ShapleyLorenz

IN PROGRESS - after the paper "Shapley-Lorenz decompositions in eXplainable Artificial Intelligence" by Giudici and Raffinetti - 2020

Language: Python - Size: 429 KB - Last synced at: 23 days ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

guidelabs/infembed

Find the samples, in the test data, on which your (generative) model makes mistakes.

Language: Python - Size: 4.73 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 25 - Forks: 1

si-cim/prototorch

ProtoTorch is a PyTorch-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.

Language: Python - Size: 412 KB - Last synced at: 4 days ago - Pushed at: about 1 year ago - Stars: 19 - Forks: 8

moienr/Awsome-RS-XAI

A curated list of resources on Explainable AI (XAI) in Remote Sensing, including courses, papers, datasets, and repositories.

Size: 4.88 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

naotoo1/sofes

A python package for soft feature selection

Language: Python - Size: 703 KB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

SJTU-DMTai/SUNNY-GNN

The official implementation of AAAI'24 paper: Self-Interpretable Graph Learning with Sufficient and Necessary Explanations.

Language: Python - Size: 6.01 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1

naotoo1/Prototype-based-feature-selection-with-the-Nafes-Package

Prototype-based Feature selection with the Nafes Pack

Language: Python - Size: 310 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 1

naotoo1/Mutation-Validation

Code for the paper Mutation Validation for Learning Vector Quantization.

Language: Python - Size: 45.9 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 1

cmu-sei/feud

AI Division, Reverse Engineering CNN Trojans

Language: Python - Size: 64.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 1

jwchoi95/PatentHAN

Official source codes for implementing "Early screening of potential breakthrough technologies with enhanced interpretability: A patent-specific hierarchical attention network model"

Language: Python - Size: 14.6 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

machinelearningnuremberg/INN

Explainable deep networks that are not only as accurate as their black-box deep-learning counterparts but also as interpretable as state-of-the-art explanation techniques.

Language: Python - Size: 60.5 KB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

naotoo1/bcd-FlaskPyWebIO

An end-to-end implementation of Breast Cancer Detection using prosemble ML package within the Flask framework integrated in PyWebIO with deployment on Heroku platform as a service cloud.

Language: Python - Size: 43.9 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

naotoo1/bcd-fastapi

An end-to-end implementation of Breast Cancer Detection using prosemble ML package within the fastapi framework with deployment on Heroku platform as a service cloud.

Language: Python - Size: 37.1 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

msetzu/fairbelief

Interpreting masked language models beliefs and evaluating their fairness

Language: Jupyter Notebook - Size: 44.1 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

uncbiag/NAISR

NAISR: A 3D Neural Additive Model for Interpretable Shape Representation

Language: Python - Size: 98.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 2

naotoo1/Prototype-Based-Soft-Feature-Selection-Package

Prototype-Based Soft Feature Selection Package

Language: Python - Size: 336 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

naotoo1/BNSFRNPC

code for the paper Beyond Neural scaling laws for fast proven robust certification of nearest prototype classifiers

Language: Terra - Size: 2.21 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 2

12wang3/mllp

The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".

Language: Python - Size: 3.69 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 19 - Forks: 6

andreysharapov/xaience

All about explainable AI, algorithmic fairness and more

Language: HTML - Size: 7.81 GB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 106 - Forks: 12

CLIAgroup/TesNet

ICCV2021 paper: Interpretable Image Recognition by Constructing Transparent Embedding Space (TesNet)

Language: Python - Size: 854 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

alfreddLUO/FYP_Codes

Final Year Project Try-Out Codes

Language: Jupyter Notebook - Size: 194 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

HwangJaeYoung/AI-Trustworthy

Interpretable AI research

Language: Jupyter Notebook - Size: 21.1 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

12wang3/rrl

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"

Language: Python - Size: 561 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 84 - Forks: 22

matteobrv/ma_thesis

Understanding Morphosyntactic Representations in Pretrained Language Models.

Language: Python - Size: 18.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

h2oai/mli-resources

H2O.ai Machine Learning Interpretability Resources

Language: Jupyter Notebook - Size: 65.8 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 477 - Forks: 134

VincentGranville/Machine-Learning

Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI.

Language: Python - Size: 36.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 68 - Forks: 26

matgege/Projection-Space-Exploration

Conway's Game of Life is sequential, here high-dimensional states are projected into the two-dimensional space, and connected, furthermore, meta-data is added to create interactive 2D visualizations.

Language: HTML - Size: 8.84 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

michelecafagna26/vl-shap

[Frontiers in AI Journal] Implementation of the paper "Interpreting Vision and Language Generative Models with Semantic Visual Priors"

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

mmuratardag/DS_DictTrans_Sentiment

Comparison of sentiment analysis conducted with a lexicon and rule-based dictionary and state-of-the-art pre-trained language models

Language: Jupyter Notebook - Size: 356 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

jvanhorn/NeuroXAI

NeuroXAI is GitHub repository for code, documentation, standards, algorithms, and content with applications to Explainable Artificial Intelligence for Neuroscientific Data Types

Size: 1000 Bytes - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

parantapa/integrated-directional-gradients

Implementation of the Integrated Directional Gradients method for Deep Neural Network model explanations.

Language: Python - Size: 212 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

naotoo1/Master-Thesis

Master Thesis on Determining of Classification Label Security/Certainty

Language: TeX - Size: 1.02 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

naotoo1/bcd-flaskflasgger

An end-to-end implementation of Breast Cancer Detection using prosemble ML package within the Flask framework and Flasgger dockerized for deployment

Language: Python - Size: 45.9 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

naotoo1/BNA

End-to-end implementation of banknotes authentication using advanced prototype-based model classification by components model dockerized and deployed on the Heroku platform as a service cloud.

Language: Python - Size: 99.6 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

naotoo1/Multiple-Reject-Classification-Options

Prototype based ML implementation for Multiple reject thresholds for improving classification reliability

Language: Python - Size: 67.4 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

CursedSeraphim/NAM-torch

A simple implementation of the Neural Additive Model by Agarwal et al. in PyTorch.

Language: Jupyter Notebook - Size: 846 KB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

lozingaro/mast-summer-school-ai

Questa repository è un contenitore per il materiale della Summer School, presso la Fondazione MAST, sui temi di Intelligenza Artificiale e Machine Learning.

Language: Jupyter Notebook - Size: 34 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 3

naotoo1/Classification-Label-Security-Certainty

Prototype based ML implementation for ascertaing the confidence of predicted labels from the Learning Vector Quantization family of advanced machine learning classification algorithms.

Language: Python - Size: 57.6 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0

ashwinkolhatkar/XAI-Blockchain Fork of Manasmko/XAI-Blockchain

B.Tech Project

Language: Python - Size: 6.28 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

marcovirgolin/robust-counterfactuals

Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"

Language: Jupyter Notebook - Size: 221 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 2