#计算机科学#A python library for decision tree visualization and model interpretation.
InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。
#计算机科学#A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
Overview of different model interpretability libraries.
A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification
What Has Been Enhanced in my Knowledge-Enhanced Language Model?
Official implementation of "HyPepTox-Fuse: An interpretable hybrid framework for accurate peptide toxicity prediction fusing protein language model-based embeddings with conventional descriptors"
#计算机科学#Overview of machine learning interpretation techniques and their implementations
Integrating multimodal data through heterogeneous ensembles
#计算机科学#This repository has all of the assignments I had to do for the Standard Bank Data Science Virtual Experience Program. 📉👨💻📊📈
#计算机科学#Model Interpretability via Hierarchical Feature Perturbation
The tasks I was required to complete as a part of the BCG Open-Access Data Science & Advanced Analytics Virtual Experience Program are all contained in this repository. 📊📈📉👨💻
Using LIME and SHAP for model interpretability of Machine Learning Black-box models.
#计算机科学#Visualize a Decision Tree using dtreeviz
#计算机科学#Advise one of Cognizant’s clients on a supply chain issue by applying knowledge of machine learning models.
Analyzed customer churn using transaction data. Built ML model to predict lapses. Dataset includes customer status, collection/redemption info, and program tenure. Delivered business presentation outl...
This repository contains the LifeExpectancy Prediction Project, a comprehensive data science project aimed at predicting life expectancy based on various health, economic, and social factors. The proj...