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mlflow
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The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
Natural Language Processing Best Practices & Examples
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
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
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 Platforms on Amazon EKS
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Framework to bring LLM applications to production
Crane is a easy-to-use and beautiful desktop application helps you build manage your container images.
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.
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.