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
- π·οΈ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.β142Updated 2 weeks ago
- βοΈ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetesβ290Updated last month
- π² A curated list of MLOps projects, tools and resourcesβ184Updated 6 months ago
- πΆ A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one dayπ€β717Updated last year
- Jenkins plugin for using DAGsHub as a source for multibranch projectsβ12Updated last year
- Doubt your data, find bad labels.β504Updated 3 months ago
- ML pipeline orchestration and model deployments on Kubernetes.β435Updated last year
- UnionML: the easiest way to build and deploy machine learning microservicesβ337Updated 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
- Monitor the stability of a Pandas or Spark dataframe βοΈβ495Updated last month
- π No need to keep checking your training - just one import line and you'll know the second it's done.β344Updated 2 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.β466Updated last year
- skops is a Python library helping you share your scikit-learn based models and put them in productionβ449Updated this week
- Super lightweight function registries for your libraryβ173Updated 5 months ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)β203Updated this week
- π Log and track ML metrics, parameters, models with Git and/or DVCβ165Updated this week
- Natural Intelligence is still a pretty good idea.β796Updated 3 months ago
- β703Updated 2 years ago
- An open-source AutoML Library based on PyTorchβ307Updated last month
- just a bunch of useful embeddingsβ466Updated last month
- PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and moreβ224Updated 11 months ago
- Examples of data science projects created with Kedro.β171Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictionsβ260Updated 4 months ago
- π Stream inferences of real-time ML models in production to any data lake (Experimental)β78Updated 2 years ago
- MLOps Python Libraryβ116Updated 2 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...β383Updated last year
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scoresβ100Updated last year
- Get started DVC project (NLP, random forest)β175Updated 5 months ago