DagsHub / fds
Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc
β382Updated 4 months ago
Related projects β
Alternatives and complementary repositories for fds
- DagsHub client librariesβ93Updated this week
- π² A curated list of MLOps projects, tools and resourcesβ183Updated 6 months ago
- βοΈ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetesβ290Updated 2 months ago
- π·οΈ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.β142Updated this week
- Jenkins plugin for using DAGsHub as a source for multibranch projectsβ12Updated last year
- πΆ A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one dayπ€β717Updated last year
- π¬ modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud stoβ¦β375Updated 6 months ago
- UnionML: the easiest way to build and deploy machine learning microservicesβ337Updated last year
- ML pipeline orchestration and model deployments on Kubernetes.β435Updated last year
- π Log and track ML metrics, parameters, models with Git and/or DVCβ167Updated this week
- Doubt your data, find bad labels.β503Updated 4 months ago
- Coarse-grained lineage and tracing for machine learning pipelines.β468Updated 2 years ago
- π Stream inferences of real-time ML models in production to any data lake (Experimental)β78Updated 2 years ago
- Toolkit for developing and maintaining ML modelsβ155Updated 5 months ago
- π No need to keep checking your training - just one import line and you'll know the second it's done.β343Updated 2 years ago
- The world's cleanest AutoML library β¨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning producβ¦β608Updated last year
- β704Updated 2 years ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)β203Updated 2 weeks ago
- An open-source AutoML Library based on PyTorchβ306Updated last month
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scoresβ100Updated last year
- Low-code Python library to safely use notebooks in production: schedule workflows, generate assets, trigger webhooks, send notifications,β¦β286Updated 3 months ago
- skops is a Python library helping you share your scikit-learn based models and put them in productionβ451Updated this week
- Decorators that logs stats.β105Updated last year
- The Fuzzy Labs guide to the universe of open source MLOpsβ449Updated 4 months ago
- Convert monolithic Jupyter notebooks π into maintainable Ploomber pipelines. πβ78Updated 2 months ago
- β Eurybia monitors model drift over time and securizes model deployment with data validationβ205Updated 3 weeks ago
- MLOps Python Libraryβ116Updated 2 years ago
- Bulwark is a package for convenient property-based testing of pandas dataframes.β223Updated 4 years ago
- Drift Detection for your PyTorch Modelsβ312Updated 2 years ago
- Super lightweight function registries for your libraryβ173Updated 5 months ago