#Mlflow
Showing 53 of 53 repositories tagged #mlflow, ranked by stars
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Natural Language Processing Best Practices & Examples
Aim ๐ซ โ An easy-to-use & supercharged open-source experiment tracker.
่ก็ฅจAIๆ็ๆ๏ผไปๅญฆไน ใๆจกๆๅฐๅฎ็๏ผไธ็ซๅผๅนณๅฐใๅ ๅซ่ก็ฅจ็ฅ่ฏใ็ญ็ฅๅฎไพใๅคงๆจกๅใๅ ๅญๆๆใไผ ็ป็ญ็ฅใๆบๅจๅญฆไน ใๆทฑๅบฆๅญฆไน ใๅผบๅๅญฆไน ใๅพ็ฝ็ปใ้ซ้ขไบคๆใC++้จ็ฝฒๅ่ๅฎฝๅฎไพไปฃ็ ็ญ๏ผๅฏไปฅๆนไพฟๅญฆไน ใๆจกๆๅๅฎ็ไบคๆ
Koalas: pandas API on Apache Spark
A comprehensive Python package template to kickstart and standardize your MLOps initiatives and data pipelines.
Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY ๐๐๐๐
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
๐งช Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
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
RapidFire AI: Rapid AI Customization from RAG to Fine-Tuning
Automated Tool for Optimized Modelling
Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases
๐ A scalable, production-ready data pipeline for real-time streaming & batch processing, integrating Kafka, Spark, Airflow, AWS, Kubernetes, and MLflow. Supports end-to-end data ingestion, transformation, storage, monitoring, and AI/ML serving with CI/CD automation using Terraform & GitHub Actions.
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.
MLflow Tracking Server OIDC Auth plugin
Experiment tracking server focused on speed and scalability
an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
Example machine learning pipeline with MLflow and Hydra
Practical guide to build end-to-end machine learning pipeline and deploy your model in production,
Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more
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.
An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
ML Ops Accelerator: Databricks & Azure Machine Learning Unification
The repository contains a list of projects which I will work on while learning and implementing MLOps.
ReinforceUI-Studio. A Python-based application designed to simplify the configuration and monitoring of RL training processes. Supporting MuJoCo, OpenAI Gymnasium, and DeepMind Control Suite. Algorithms included: CTD4, DDPG, DQN, PPO, SAC, TD3, TQC
Projects developed by Domino's R&D team
๐ช 1-click Kubeflow using ArgoCD
A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
Use QLoRA to tune LLM in PyTorch-Lightning w/ Huggingface + MLflow
Track experiments, log metrics, manage models โ MLflow from Julia.
Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit
A local-first lakehouse reference architecture for production-minded data platform engineering.
A JavaScript client library for MLflow that streamlines machine learning lifecycle management in web environments.
Awesome MLOps Course Outline
In this repository, I have developed an end to end Automatic speech recognition project. I have developed the neural network model for automatic speech recognition with PyTorch and used MLflow to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry.
2 Lines of code to track ML experiments + EDA + check into Github
PawMark is a platform for developers to build, schedule and monitor data pipelines.
A scalable, declarative, low-code framework for real-time and batch feature calculation/management (quant finance, anomaly/fraud detection, etc.), predictive ML training/inference and simulation. Built on top of Ray
A Python-powered Quant Hedge Fund System with automated data ingestion, backtesting, and trade execution using MLflow, Luigi, Prefect, and Interactive Brokers
Examples of Prompt Engineering, Zero Shot Learning, Few Shot Learning and Retrieval Augmented Generation (RAG) using Hugging Face, Databricks and MLflow
MLflow and Prefect with docker-compose
้ขๅๅฐๅข้็ไธ็ซๅผ NLP ๅฐๆจกๅๅนณๅฐ:ๆฐๆฎ้็ๆฌ็ฎก็ ยท ่ฎญ็ป ยท ่ฏไผฐ ยท ๅจ็บฟ้จ็ฝฒ ยท Badcase ้ญ็ฏ,ๅ ็ฝฎๅคงๆจกๅ Prompt ็ฒๆต่ฏๆต(ไบบๅทฅ + AI ๅๆๆ )ใ
A Docker-based Data Science cookiecutter (for myself)
Book / Blog of different topics around MLOps engineering.
mlflow container setup for docker, docker compose and kubernetes including helm chart
Multi-docker container data science / engineering playground (w/ Kafka, Airflow, MLFlow, Tensorflow-Keras / SKLearn) for simulating a microservices-oriented architecture