Open source platform for the machine learning lifecycle
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Updated
May 17, 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
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
FinOps and MLOps platform to run ML/AI and regular cloud workloads with optimal performance and cost.
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
Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
ML Ops Accelerator: Databricks & Azure Machine Learning Unification
Using Kafka-Python to illustrate a ML production pipeline
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
Azure Databricks - Advent of 2020 Blogposts
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.
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