There are 31 repositories under mlflow topic.
Natural Language Processing Best Practices & Examples
Koalas: pandas API on Apache Spark
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
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
Kickstart your MLOps initiative with a flexible, robust, and productive Python package.
DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
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
Framework to bring LLM applications to production
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)
All the available resources to master MLOPS from scratch
Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.
[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.
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.
Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'
Make GNN easy to start with
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
Deploy MLflow with HTTP basic authentication using Docker
Experiment tracking server focused on speed and scalability
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
Example machine learning pipeline with MLflow and Hydra
FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.
The repository contains a list of projects which I will work on while learning and implementing MLOps.
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
Projects developed by Domino's R&D team
an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery