Stars
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 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.
📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
😎 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.
davified / clean-code-ml
Forked from zedr/clean-code-python🛁 Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter …
The slides and demos for the talk at Pycon Israel 2019
🛠 All-in-one web-based IDE specialized for machine learning and data science.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops