model-explainability | Topic | Ecosyste.ms: Repos

Topic: "model-explainability"

cdpierse/transformers-interpret

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

Language: Jupyter Notebook - Size: 7.87 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 1,390 - Forks: 99

JoaoLages/diffusers-interpret

Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.

Language: Jupyter Notebook - Size: 77.5 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 280 - Forks: 14

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 🚀

Size: 4.88 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 90 - Forks: 9

Arize-ai/client_python

A python library to send data to Arize AI!

Language: Python - Size: 51.8 MB - Last synced at: 18 days ago - Pushed at: about 1 month ago - Stars: 57 - Forks: 20

sMamooler/CLIP_Explainability

code for studying OpenAI's CLIP explainability

Language: Jupyter Notebook - Size: 470 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 23 - Forks: 3

openlayer-ai/openlayer-python

The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈

Language: Python - Size: 22.1 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 16 - Forks: 2

kdmsit/crysxpp

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

Language: Python - Size: 27.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 4

Arize-ai/client_java

Java client to interact with Arize API

Language: Java - Size: 418 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

kkm24132/ResponsibleAI

Capture fundamentals around ethics of AI, responsible AI from principle, process, standards, guidelines, ecosystem, regulation/risk standpoint.

Size: 9.09 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

arthur-ai/arthur-sandbox 📦

Example projects for Arthur Model Monitoring Platform

Language: Jupyter Notebook - Size: 50.1 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 3

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 Notebook - Size: 7.7 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 2

YusufCaymazZ/meovis

Meovis is an open-source tool that helps you visualize, explain, and compare your machine learning models with clarity.

Language: TypeScript - Size: 189 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

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 Notebook - Size: 115 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 2

0xUnkn0wn4M1R/data_engineering_banking_project

🏦 Build a complete data engineering workflow for a banking system, showcasing ETL processes, data transformations, and an interactive financial dashboard.

Language: Python - Size: 2.76 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

AnderCruz/Chest_X-Ray_Medical_Diagnosis

Deep learning–based pneumonia detection in chest X-rays with clinical threshold optimization and Grad-CAM explainability.

Language: Jupyter Notebook - Size: 2.36 MB - Last synced at: 15 days ago - Pushed at: 16 days ago - Stars: 1 - Forks: 0

AmirhosseinHonardoust/Shap-Mini

A minimal, reproducible explainable-AI demo using SHAP values on tabular data. Trains RandomForest or LogisticRegression models, computes global and local feature importances, and visualizes results through summary and dependence plots, all in under 100 lines of Python.

Language: Python - Size: 1.04 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

aikho/retrivex

Explainability toolkit for retrieval models. Explain prediction of vector search models (embeddings similarity models, siamese encoders, bi-encoders, dense retrieval models). Debug your vector search models for RAG or agentic AI system.

Language: Jupyter Notebook - Size: 562 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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 Notebook - Size: 47 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

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 Notebook - Size: 2.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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: Python - Size: 59.6 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

Gianatmaja/WhizML-CVD_Analysis

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

Language: Python - Size: 5.08 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

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: Python - Size: 4.07 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

pgplarosa/Predicting-User-Behavior-for-Marketing-Campaign

Machine Learning Individual Project - November 23, 2021

Language: HTML - Size: 6.7 MB - Last synced at: almost 3 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

nsrinidhibhat/Visualizing-kernels

Language: Jupyter Notebook - Size: 461 KB - Last synced at: almost 3 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

tonette31/Shap-Mini

Language: Python - Size: 2.16 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

Amaan-developpeur/LiverDiseasePrediction

A machine learning–based application for early detection of liver disease using patient health parameters. The system preprocesses clinical data, trains a predictive model with scikit-learn, and integrates LIME for model explainability. A FastAPI backend exposes RESTful endpoints for predictions and interpretability reports.

Language: Jupyter Notebook - Size: 6.07 MB - Last synced at: 25 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0