Standardized Serverless ML Inference Platform on Kubernetes
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Updated
Jun 4, 2024 - Python
Standardized Serverless ML Inference Platform on Kubernetes
Tools for easing the handoff between AI/ML and App/SRE teams.
Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health practitioners.
Collection of the assignments for Data Science Engineering Methods on National Stock Exchange Dataset and TMNIST dataset
Sentiment Analysis using Machine Learning
surrogate quantitative interpretability for deepnets
squid repository for manuscript analysis
Investigating a neural network response to input parameters using sensitivity analysis techniques.
To predict the rating of a developer using various data captured during an online test
Exercise on interpretability with integrated gradients.
Softmax-as-intermediate-layer-CNN
CNN Visualization using PyTorch
This repository provides R scripts for reproducing virtual species generating, modeling species distribution and final figures related with published manuscript.
This repository includes a general informations and examples about how to make a machine learning model just a few lines of code in Python using PyCaret package.
This repository contains the work in the AI engineer Cognizant virtual training and internship program from forage
Model interpretability for Explainable Artificial Intelligence
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
Covid Detection via CT Scan Image Analysis
Identifying Hate Speech in Philippie Election-Related Tweets
Football Positions: A Multi-class Classification Problem
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