Open source platform for the machine learning lifecycle
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Updated
Sep 20, 2024 - Python
Open source platform for the machine learning lifecycle
Natural Language Processing Best Practices & Examples
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
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、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
DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3
ML Ops Accelerator: Databricks & Azure Machine Learning Unification
Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
Using Kafka-Python to illustrate a ML production pipeline
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
Azure Databricks - Advent of 2020 Blogposts
An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
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.
🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
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