A unified framework for machine learning with time series

Open standard for machine learning interoperability

Convolutional Neural Network And Multimodal Learning with Graphic User Interface for Digital Pathology

Comparison-based Machine Learning in Python

EBOP Model Automatic input Value Estimation Neural network

Predicting student math scores ! This project utilizes advanced machine learning techniques and MLOps tools like DVC and MLflow to predict a student's math score based on various factors such as gender, race/ethnicity, parental level of education, lunch type, test preparation course, writing etc

machine learning theory and exercises

ONNX Runtime binding for Lua

Descriptive And Inferential Data Analysis Using Python Projects

Parallel computing with task scheduling

Empowering Data Driven insights through hands-on projects, SQL challenges and practical tools.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!

🍊 📊 💡 Orange: Interactive data analysis

This is a simple web based application to predict diabetes.

This code demonstrates the use of machine learning to model the multimodal nature of a single cell. Using machine learning to predict RNA from DNA, that is, using chromatin accessibility data to predict the RNA gene expression and to predict surface protein from RNA, that is, using RNA sequence data to predict surface protein levels in a cell

Practices and Assignments from the Advanced Machine Learning Class

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

The goal of this project is to develop a machine learning model that can classify movie reviews as positive or negative based on the sentiment expressed in the text.

Fit interpretable models. Explain blackbox machine learning.