jenkinsci / dagshub-branch-source-pluginLinks
Jenkins plugin for using DAGsHub as a source for multibranch projects
☆12Updated 2 years ago
Alternatives and similar repositories for dagshub-branch-source-plugin
Users that are interested in dagshub-branch-source-plugin are comparing it to the libraries listed below
Sorting:
- 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☆392Updated last year
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆719Updated 2 years ago
- Transform your pythonic research to an artifact that engineers can deploy easily.☆154Updated 4 months ago
- DagsHub client libraries☆101Updated last week
- Natural Intelligence is still a pretty good idea.☆823Updated last year
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆293Updated 10 months ago
- The Fuzzy Labs guide to the universe of open source MLOps☆472Updated 5 months ago
- ML pipeline orchestration and model deployments on Kubernetes.☆433Updated 2 years ago
- This tool connects DVC (https://dvc.org/) to CC (www.curious-containers.cc) to run your defined stages with DVC in a docker on your cloud…☆11Updated 5 years ago
- ☆703Updated 3 years ago
- MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integra…☆1,607Updated this week
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,928Updated 2 months ago
- Data Quality assessment with one line of code☆452Updated last month
- Implementation of tree-structured neural networks in PyTorch.☆14Updated 3 years ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆872Updated 2 years ago
- 📖 DVC website and documentation☆374Updated this week
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆668Updated 8 months ago
- 🐦 Quickly annotate data from the comfort of your Jupyter notebook☆786Updated last year
- Fast SHAP value computation for interpreting tree-based models☆545Updated 2 years ago
- Doubt your data, find bad labels.☆515Updated last year
- Coarse-grained lineage and tracing for machine learning pipelines.☆468Updated 2 years ago
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆613Updated 6 months ago
- Collection of articles listing reasons why data science projects fail.☆464Updated 4 years ago
- 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.☆344Updated 3 years ago
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆398Updated 9 months ago
- Deploy a ML inference service on a budget in less than 10 lines of code.☆1,345Updated last year
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆394Updated 2 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated last year
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,509Updated 2 months ago
- Directions overlay for working with pandas in an analysis environment☆480Updated 11 months ago