Popular GitHub Repositories for Mlflow

Open source platform for the machine learning lifecycle

Natural Language Processing Best Practices & Examples

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

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

? Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more

deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow?, and MLflow? into a complete platform.

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

Framework to bring LLM applications to production

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.

PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more

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

Repository with code examples of mlflow

[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes

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

Collection of free Notes,Courses,Videos,Projects,Articles and Repos Links To learn Machine learning ,Deep learning,Python,SQL,CNN,NLP,GAN,GNN,Transfomers,Flask,Django,and End to End Machine learning Projects

Make GNN easy to start with

A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.