Open source platform for the machine learning lifecycle
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Updated
Dec 23, 2022 - Python
Open source platform for the machine learning lifecycle
Natural Language Processing Best Practices & Examples
Aim
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices.
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
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
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
A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)
(Eng. Incl.) 股票AI操盘手:包含股票知识、策略实例、机器学习、深度学习、C++部署和聚宽实例代码等,可以方便学习、模拟及实盘交易
Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
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.
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
Using Kafka-Python to illustrate a ML production pipeline
In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits
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