model-explainability

#自然语言处理#Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

翻译 - 模型可解释性，可与🤗变压器无缝配合。仅用两行代码来说明您的变压器模型。

#计算机科学#Diffusers-Interpret 🤗🧨🕵️‍♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.

#计算机科学#A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀

A python library to send data to Arize AI!

#计算机科学#code for studying OpenAI's CLIP explainability

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

#计算机科学#The official Python library for Openlayer, the Continuous Model Improvement Platform for AI. 📈

Java client to interact with Arize API

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

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

Example projects for Arthur Model Monitoring Platform

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...

#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.

#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...

#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,...

#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...

#计算机科学#Machine Learning Individual Project - November 23, 2021

#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.

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

#计算机科学#This project develops an ML binary classification model to predict phishing webpages.