awesome-mlops / awesome-ml-experiment-management
A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management π
β126Updated 8 months ago
Alternatives and similar repositories for awesome-ml-experiment-management:
Users that are interested in awesome-ml-experiment-management are comparing it to the libraries listed below
- aim-mlflow integrationβ205Updated last year
- A scalable & efficient active learning/data selection system for everyone.β214Updated 8 months ago
- Quadra: Effortless and reproducible deep learning workflows with configuration files.β48Updated 3 weeks ago
- A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient wayβ281Updated this week
- ClearML - Model-Serving Orchestration and Repository Solutionβ146Updated 2 months ago
- A build-it-yourself AutoML Frameworkβ71Updated 4 months ago
- Create powerful Hydra applications without the yaml files and boilerplate code.β367Updated this week
- scikit-activeml: Python library for active learning on top of scikit-learnβ161Updated this week
- β16Updated 2 years ago
- Introduction to Data-Centric AI, MIT IAP 2023 π€β97Updated last month
- Drift Detection for your PyTorch Modelsβ315Updated 2 years ago
- API Client for paperswithcode.comβ162Updated 10 months ago
- Rax is a Learning-to-Rank library written in JAX.β327Updated 2 weeks ago
- π Log and track ML metrics, parameters, models with Git and/or DVCβ171Updated last week
- TorchFix - a linter for PyTorch-using code with autofix supportβ136Updated last month
- Codabench is a flexible, easy-to-use and reproducible benchmarking platform. Check our paper at Patterns Cell Press https://hubs.li/Q01fwβ¦β85Updated this week
- π² A curated list of MLOps projects, tools and resourcesβ186Updated 11 months ago
- Curated list of open source tooling for data-centric AI on unstructured data.β713Updated last year
- An active learning library for Pytorch based on Lightning-Fabric.β79Updated 10 months ago
- π§ Starter templates for doing interpretability researchβ67Updated last year
- Website for hosting the Open Foundation Models Cheat Sheet.β264Updated 2 weeks ago
- Functional deep learningβ108Updated 2 years ago
- A framework for conducting machine learning experiments in pythonβ38Updated 3 months ago
- π A curated list of papers & technical articles on AI Quality & Safetyβ171Updated last year
- Frouros: an open-source Python library for drift detection in machine learning systems.β210Updated last month
- MLOps Python Libraryβ117Updated 2 years ago
- Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest researchβ¦β310Updated last week
- W&B Server is the self hosted version of Weights & Biasesβ274Updated 2 weeks ago
- A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facβ¦β229Updated 2 months ago
- git extension for {collaborative, communal, continual} model developmentβ208Updated 4 months ago