#计算机科学#An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collect...
#计算机科学#An open-source ML pipeline development platform
#大语言模型#Open source AI platform for rapid development of advanced AI and AGI pipelines.
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
#计算机科学#Best practices for engineering ML pipelines.
#计算机科学#Library for streaming data and incremental learning algorithms.
#计算机科学#Components that I have created for Kubeflow Pipelines. Try them in https://cloud-pipelines.net/pipeline-editor/
#计算机科学#Serverless ML system to predict the direction and volume of electricity flows to and from the Netherlands and its energy transmission partners.
#计算机科学#This Project is a part of Data Science Nanodegree Program by Udacity in collaboration with Figure Eight. The initial dataset contains pre-labelled tweet and messages from real-life disasters. The aim ...
This a repo that was created to learn more about Airflow and develop awesome data engineering projects. 🚀🚀
#计算机科学#Fraud detection ML pipeline and serving POC using Dask and hopeit.engine. Project created with nbdev: https://www.fast.ai/2019/12/02/nbdev/
🧠A hands-on workspace for practicing machine learning concepts, data preprocessing, and experimenting with small ML projects. This repo includes foundational Python scripts, real-world mini-projects,...
#自然语言处理#A collection of real-world machine learning and AI projects. Explore hands-on implementations of cutting-edge models, practical solutions, and techniques to tackle real-world challenges using AI.
This repository contains my code solution to DeepLearning.AIs Practical Data Science On AWS Cloud Specialization.
Big data application of Machine Learning concepts for sentiment classification of US Airlines tweets. The focus is on the usage of pyspark libraries (ml-lib) on big data to solve a problem using Machi...
#自然语言处理#ML pipeline to categorize emergency messages based on the needs communicated by the sender.
Develop algorithms to classify genetic mutations based on clinical evidence (text).
Guide on how to structure and implement machine learning pipelines.