Build Real-Time Knowledge Graphs for AI Agents

Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

State-of-the-art TTS model under 25MB 😻

aim to assess signal quality for heart sound signal

Heart sound segmentation code based on duration-dependant HMM

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Official Repository for "Training-Free Multi-Step Audio Source Separation"

An open source python library for automated feature engineering

A hyperparameter optimization framework

cuDNN Version Switcher

A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.

Evaluation code for the PhysioNet Challenge 2022

📋 A list of open LLMs available for commercial use.

Awesome Heart Sound Analysis - A Survey

Deep learning for recommender systems

Your essential guide to healthcare analytics: bridging clinical knowledge and data skills for transforming patient care.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Data plus code fo Classification of Heart Sound Signal Using Multiple Features

This project generates a README profile based on the information provided by the user

A curated list of awesome curated lists of many topics related to artificial intelligence.

kapre: Keras Audio Preprocessors

📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)

Python DSL for Argo Workflows

😎 A curated list of awesome MLOps tools

A unified framework for machine learning with time series

Run VSCode (codeserver) on Google Colab or Kaggle Notebooks

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Open source software for machine learning production monitoring : maintain control over production models, detect bias, explain your results.

🛁 Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT