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model-explainability

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Jupyter Notebook 1.38 k
2 年前
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#计算机科学#Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.

Jupyter Notebook 280
3 年前
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CrysXPP: An Explainable Property Predictor for Crystalline Materials (NPJ Computational Materials - 2022)

Python 17
2 年前
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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 featu...

Jupyter Notebook 9
5 个月前
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Capture fundamentals around ethics of AI, responsible AI from principle, process, standards, guidelines, ecosystem, regulation/risk standpoint.

7
2 年前
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#计算机科学#Explaining Trees (LightGBM) with FastTreeShap (Shapley) and What if tool

Jupyter Notebook 6
2 年前
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Jupyter Notebook 5
2 年前
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#计算机科学#Meovis is an open-source tool that helps you visualize, explain, and compare your machine learning models with clarity.

Python 2
23 天前
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#计算机科学#A proof-of-concept for the implementation of an early fault detection system in oil wells, designed to enhance operational efficiency and reduce costs.

Python 2
2 年前
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#计算机科学#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) o...

Jupyter Notebook 2
10 个月前
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#计算机科学#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,...

Python 1
2 年前
https://static.github-zh.com/github_avatars/Daniel-Andarge?size=40

#计算机科学#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 accurate...

Jupyter Notebook 1
1 年前
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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 Classi...

Jupyter Notebook 1
3 年前
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#计算机科学#Developed an efficient system using Regression Techniques to empower retailers with profitable insights & maintain a competitive edge in the dynamic retail industry.

Jupyter Notebook 1
8 个月前
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