#自然语言处理#Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
#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. 📈
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...
Java client to interact with Arize API
Capture fundamentals around ethics of AI, responsible AI from principle, process, standards, guidelines, ecosystem, regulation/risk standpoint.
#计算机科学#Explaining Trees (LightGBM) with FastTreeShap (Shapley) and What if tool
Example projects for Arthur Model Monitoring Platform
#计算机科学#Meovis is an open-source tool that helps you visualize, explain, and compare your machine learning models with clarity.
#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.