mlflow

#计算机科学#MLflow 是一个开源框架，旨在管理整个机器学习生命周期。 它可以在不同的平台上训练模型并为模型提供服务，让你能够使用相同的一组工具，而不管试验是在计算机本地、远程计算目标上、虚拟机上

#自然语言处理#Natural Language Processing Best Practices & Examples

#计算机科学#Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

Koalas: pandas API on Apache Spark

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

#计算机科学#Kickstart your MLOps initiative with a flexible, robust, and productive Python package.

#搜索#

#计算机科学#An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS

#计算机科学#Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

#大语言模型#Framework to bring LLM applications to production

All the available resources to master MLOPS from scratch

Crane is a easy-to-use and beautiful desktop application helps you build manage your container images.

#自然语言处理#ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3

#计算机科学#Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.

A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)

Repository with code examples of mlflow

🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.