experiment-tracking

There are 96 repositories under experiment-tracking topic.

  • kedro

    kedro-org/kedro

    Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

    Language:Python10.5k1052.2k962

  • aimhubio/aim

    Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

    Language:Python5.8k411.1k355

  • mlrun/mlrun

    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.

    Language:Python1.6k27280275
  • kedro-viz

    kedro-org/kedro-viz

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

    Language:JavaScript7289727116
  • mandala

    amakelov/mandala

    A simple & elegant experiment tracking framework that integrates persistence logic & best practices directly into Python

    Language:Jupyter Notebook52152514

  • nyanp/nyaggle

    Code for Kaggle and Offline Competitions

    Language:Python293114629

  • scicloj/scicloj.ml

    A Clojure machine learning library

    Language:Clojure22571116

  • TUM-DAML/seml

    SEML: Slurm Experiment Management Library

    Language:Python18336633

  • awesome-mlops/awesome-ml-experiment-management

    A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀

    143214

  • Blinorot/pytorch_project_template

    PyTorch Template for DL projects

    Language:Python1232014

  • G-Research/fasttrackml

    Experiment tracking server focused on speed and scalability

    Language:Go1041643320

  • soundsensing/mlflow-easyauth

    Deploy MLflow with HTTP basic authentication using Docker

    Language:Shell1041727

  • outerport/paramit

    Parameterize Python scripts/notebooks all from the command line and run on cloud GPUs

    Language:Python9842812
  • sdk

    layerai-archive/sdk

    Metadata store for Production ML

    Language:Python887176

  • lumo-tech/lumo

    More light-weight pytorch experiment management library!

    Language:Python693109

  • machine-learning-apps/wandb-action

    GitHub Action That Retrieves Model Runs From Weights & Biases

    Language:Python60606

  • JakobLS/mlops-credit-risk

    MLOps for deploying a Credit Risk model

    Language:HTML34109

  • awesome-mlops/awesome-mlops-platforms

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

    29101
  • VevestaX

    Vevesta/VevestaX

    2 Lines of code to track ML experiments + EDA + check into Github

    Language:Jupyter Notebook28118

  • cubyc-dev/cubyc

    Python’s delightfully modular experiment tracker for MLOps

    Language:Python21221
  • cascade

    Oxid15/cascade

    Lightweight and modular MLOps library targeted at small teams or individuals

    Language:Python21111

  • curiousily/Reproducible-ML-with-DVC

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

    Language:Python18216

  • PiotrGrabysz/PitchGeometry

    Detect keypoints at a football pitch

    Language:Jupyter Notebook17101

  • agentos-project/agentos

    The Python Component System (PCS) is an API and CLI for building, running, and sharing Python code. AgentOS is a set of libraries built on top of PCS that make it easy to build, run, and share agents that use Reinforcement Learning.

    Language:Python1521905

  • UETAILab/uetai

    Custom ML tracking experiment and debugging tools.

    Language:Python151141

  • Nerdward/Mlops_project

    An end to end ML project. Using MLflow for experiment tracking and model registry. Prefect for workflow orchestration. S3 for artifacts storage. AWS Lambda/ ECR for serverless model serving. AWS REST API gateway as endpoint to lambda function. GitHub Actions for CI/CD.

    Language:Jupyter Notebook12102

  • tamohannes/urartu

    A framework that provides high-level wrappers for effortless experiment launch, enhanced reproducibility, precise control, and unparalleled flexibility.

    Language:Python12110

  • d-lowl/bunny-party

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

    Language:Python11100

  • Ezzaldin97/Batch-Serving-ML-Pipeline

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

    Language:Python10102
  • experiment

    actualwitch/experiment

    🔬 Experiment is a professional-grade chat interface for Large Language Models (LLMs) designed for developers, prompt engineers, and AI researchers. It provides a streamlined environment for working with Anthropic, OpenAI, and Mistral models, with powerful debugging tools for prompt engineering and tool integration.

    Language:TypeScript90

  • JarnoRFB/pydata_berlin_sacred

    Lightning Talk about sacred at PyData Berlin

    Language:Jupyter Notebook9202

  • MIC-DKFZ/cmdint

    CmdInterface enables detailed logging of command line and python experiments in a very lightweight manner (coding wise). It wraps your command line or python function calls in a few lines of python code and logs everything you might need to reproduce the experiment later on or to simply check what you did a couple of years ago.

    Language:Python8801

  • coretex-ai/coretexpylib

    Python library for programatic interaction with Coretex experiment tracking and orchestration server.

    Language:Python7308

  • tsenst/lightning-experiments-logger

    A SageMaker Experiment logger class for PyTorch Lightning

    Language:Python6110

  • BecayeSoft/Machine-Learning

    Deep learning, machine learning marvels, and language sorcery in one repository :)

    Language:Jupyter Notebook51

  • m-team-kit/mlflow-auth-gui

    A web application that provides a Web GUI to the MLflow Authentication API

    Language:TypeScript5300