Popular GitHub Repositories for Experiment Tracking

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

Visualise your Kedro data and machine-learning pipelines and track your experiments.

A Clojure machine learning library

Experiment tracking server focused on speed and scalability

MLOps for deploying a Credit Risk model

A curated list of awesome open source and commercial MLOps platforms ?

Lightweight and modular MLOps library targeted at small teams or individuals

Python’s delightfully modular experiment tracker for MLOps

Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC

Custom ML tracking experiment and debugging tools.

A demonstration of how DVC and MLFlow can be used in the task of data relabeling

? Experiment is a feature-rich chat interface for Large Language Models (LLMs) like Anthropic, OpenAI, and Mistral.

create a robust, simple, effecient, and modern end to end ML Batch Serving Pipeline Using set of modern open-source/free Platforms/Tools

A SageMaker Experiment logger class for PyTorch Lightning

Faculty platform plugin for MLflow

Track model training experiments with MLflow and FiftyOne!

Model versioning using Weight&Biases with Python.

PyData BSB code exploring and demonstrating the MLFlow projects functionality and how to used for experiment and run tracking.

Train and build a sentiment model using pytorch for fitness apps using Bert, dockerized and container deployed to the cloud(AWS)

Hyperparameter optimization with Optuna and experiment tracking with NeptuneAI.