GitHub topics: model-explainability

Repositories

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: 7 days ago - Pushed at: over 1 year ago - Stars: 1,333 - Forks: 99

Arize-ai/client_python

A python library to send data to Arize AI!

Language: Python - Size: 51.5 MB - Last synced at: 8 days ago - Pushed at: 12 days ago - Stars: 50 - Forks: 15

openlayer-ai/openlayer-python

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

Language: Python - Size: 21.5 MB - Last synced at: 8 days ago - Pushed at: 9 days ago - Stars: 10 - Forks: 1

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: 2 days ago - Pushed at: over 2 years ago - Stars: 275 - Forks: 14

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: 19 days ago - Pushed at: 19 days ago - Stars: 3 - Forks: 2

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: 12 days ago - Pushed at: 12 months ago - Stars: 75 - Forks: 7

arthur-ai/arthur-sandbox 📦

Example projects for Arthur Model Monitoring Platform

Language: Jupyter Notebook - Size: 50.1 MB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 3

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: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

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 - Size: 626 KB - Last synced at: 11 days ago - Pushed at: 4 months ago - Stars: 0 - 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: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 2

grascya/Breast-Cancer-Detection

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

Language: Jupyter Notebook - Size: 2.41 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

sMamooler/CLIP_Explainability

code for studying OpenAI's CLIP explainability

Language: Jupyter Notebook - Size: 470 MB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 23 - Forks: 3

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: 9 months ago - Pushed at: 9 months ago - Stars: 1 - 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: about 1 year ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 1

AndrewDettor/Powerlifter-Deadlift-Regression

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

Language: Jupyter Notebook - Size: 15.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - 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: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0