model-explainability

There are 28 repositories under model-explainability topic.

  • cdpierse/transformers-interpret

    Model explainability that works seamlessly with ๐Ÿค— transformers. Explain your transformers model in just 2 lines of code.

    Language:Jupyter Notebook1.3k2079100
  • JoaoLages/diffusers-interpret

    Diffusers-Interpret ๐Ÿค—๐Ÿงจ๐Ÿ•ต๏ธโ€โ™€๏ธ: Model explainability for ๐Ÿค— Diffusers. Get explanations for your generated images.

    Language:Jupyter Notebook2747814
  • 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 ๐Ÿš€

  • Arize-ai/client_python

    A python library to send data to Arize AI!

    Language:Python5015615
  • sMamooler/CLIP_Explainability

    code for studying OpenAI's CLIP explainability

    Language:Jupyter Notebook29104
  • kdmsit/crysxpp

    CrysXPP: An Explainable Property Predictor for Crystalline Materials (NPJ Computational Materials - 2022)

    Language:Python16327
  • openlayer-ai/openlayer-python

    The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. ๐Ÿ“ˆ

    Language:Python8211
  • Arize-ai/client_java

    Java client to interact with Arize API

    Language:Java71200
  • zabir-nabil/What-If-Explainability

    Explaining Trees (LightGBM) with FastTreeShap (Shapley) and What if tool

    Language:Jupyter Notebook6201
  • 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

    Language:Jupyter Notebook42213
  • 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.

    Language:Jupyter Notebook3201
  • 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.

    Language:Python2101
  • 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.

    Language:Jupyter Notebook2102
  • 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.

    Language:Jupyter Notebook1100
  • 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.

    Language:Jupyter Notebook110
  • 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.

    Language:Python1100
  • Gianatmaja/WhizML-CVD_Analysis

    An application of the WhizML codebase for an analysis of cardiovascular disease risk.

    Language:Python1100
  • pgplarosa/Predicting-User-Behavior-for-Marketing-Campaign

    Machine Learning Individual Project - November 23, 2021

    Language:HTML1201
  • AndrewDettor/Powerlifter-Deadlift-Regression

    Predict which powerlifters will have the highest one-rep-max deadlift

    Language:Jupyter Notebook0100
  • grascya/Breast-Cancer-Detection

    Build classification models to predict whether the cancer type is Malignant or Benign.

    Language:Jupyter Notebook0100
  • 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.

    Language:Jupyter Notebook0100
  • Popseli/Prediction-of-Phishing-Webpages

    This project develops an ML binary classification model to predict phishing webpages.

    Language:Jupyter Notebook0312
  • 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.

    Language:Jupyter Notebook0100
  • codeasarjun/ClearFeelings

    ClearFeelings uses logistic regression to analyze Twitter comments about airlines, revealing how people feel about different airlines based on their tweets.

    Language:Jupyter Notebook10
  • 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.

    Language:R
  • pgplarosa/Finding-Patterns-in-the-Presidentiables-Tweets

    Machine Learning Final Project - December 04, 2021

    Language:Jupyter Notebook10