model-explainability
There are 28 repositories under model-explainability topic.
cdpierse/transformers-interpret
Model explainability that works seamlessly with ๐ค transformers. Explain your transformers model in just 2 lines of code.
JoaoLages/diffusers-interpret
Diffusers-Interpret ๐ค๐งจ๐ต๏ธโโ๏ธ: Model explainability for ๐ค Diffusers. Get explanations for your generated images.
awesome-mlops/awesome-ml-monitoring
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data ๐
Arize-ai/client_python
A python library to send data to Arize AI!
sMamooler/CLIP_Explainability
code for studying OpenAI's CLIP explainability
kdmsit/crysxpp
CrysXPP: An Explainable Property Predictor for Crystalline Materials (NPJ Computational Materials - 2022)
openlayer-ai/openlayer-python
The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. ๐
Arize-ai/client_java
Java client to interact with Arize API
zabir-nabil/What-If-Explainability
Explaining Trees (LightGBM) with FastTreeShap (Shapley) and What if tool
kkm24132/ResponsibleAI
Capture fundamentals around ethics of AI, responsible AI from principle, process, standards, guidelines, ecosystem, regulation/risk standpoint.
arthur-ai/arthur-sandbox
Example projects for Arthur Model Monitoring Platform
Daniel-Andarge/AiML-financial-fraud-detection-model
The Fraud Detection project aims to improve identification of fraudulent activities in e-commerce and banking by developing advanced machine learning models that analyze transaction data, employ feature engineering, and implement real-time monitoring for high accuracy fraud detection.
Gianatmaja/Early-Fault-Detection-System
A proof-of-concept for the implementation of an early fault detection system in oil wells, designed to enhance operational efficiency and reduce costs.
KyriakosPsa/Transfer-Learning-Vision
Study on the performance of pre-trained models (VGG16, EfficientNetb0, ResNet50, ViT16) with weight fine tuning, as well as classical ML algorithms (Naive Bayes, Logistic Regression, Random Forest) on a dataset of 6.806 fungi microscopy Images utilizing Pytorch.
Ajay07pandey/Retail-sale-prediction-of-a-drug-store.
Developed an efficient system using Regression Techniques to empower retailers with profitable insights & maintain a competitive edge in the dynamic retail industry.
Daniel-Andarge/AiML-walmart-sales-prediction-ml
This project is a machine learning competition hosted on Kaggle platform, focused on forecasting Walmart's monthly and quarterly sales. We tasked with developing advanced predictive models to accurately predict Walmart's sales, taking into account various factors such as historical sales data, macroeconomic indicators, and local market conditions.
Gianatmaja/WhizML
A reusable codebase for fast data science and machine learning experimentation, integrating various open-source tools to support automatic EDA, ML models experimentation and tracking, model inference, model explainability, bias, and data drift analysis.
Gianatmaja/WhizML-CVD_Analysis
An application of the WhizML codebase for an analysis of cardiovascular disease risk.
pgplarosa/Predicting-User-Behavior-for-Marketing-Campaign
Machine Learning Individual Project - November 23, 2021
AndrewDettor/Powerlifter-Deadlift-Regression
Predict which powerlifters will have the highest one-rep-max deadlift
grascya/Breast-Cancer-Detection
Build classification models to predict whether the cancer type is Malignant or Benign.
jcguidry/NFL-game-win-prediction-logit-R
Writeup on classification model for predicting outcomes of NFL games, focusing on explainability. (+ project writeup)
Popseli/Prediction-of-Cancer-Death-Rate
This project implements an ML regression model for predicting cancer death rate in US.
Popseli/Prediction-of-Phishing-Webpages
This project develops an ML binary classification model to predict phishing webpages.
syedsharin/Credit-Card-Default-Prediction
This project provides a performance evaluation of credit card default prediction. Thus different models are used to test the variable in predicting the credit default and we found Random Forest Classifier performs the best with a recall of 0.95 on the test set.
codeasarjun/ClearFeelings
ClearFeelings uses logistic regression to analyze Twitter comments about airlines, revealing how people feel about different airlines based on their tweets.
deliprofesor/Income-Analytics-Interpretable-Machine-Learning-Model
This project predicts whether an individual earns more than 50K using the Adult Income dataset. A Random Forest model is trained and evaluated, with explanations provided through DALEX and LIME for feature importance and model transparency.
pgplarosa/Finding-Patterns-in-the-Presidentiables-Tweets
Machine Learning Final Project - December 04, 2021