DagsHub / fdsLinks
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
Alternatives and similar repositories for fds
Users that are interested in fds are comparing it to the libraries listed below
Sorting:
- 🏬 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 11 months ago
- 🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.☆155Updated last week
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆719Updated 2 years ago
- Doubt your data, find bad labels.☆517Updated last year
- ML pipeline orchestration and model deployments on Kubernetes.☆434Updated 2 years ago
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated last year
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆294Updated last year
- UnionML: the easiest way to build and deploy machine learning microservices☆336Updated 2 years ago
- 📈 Log and track ML metrics, parameters, models with Git and/or DVC☆184Updated this week
- DagsHub client libraries☆102Updated last week
- Coarse-grained lineage and tracing for machine learning pipelines.☆470Updated 3 years ago
- Machine learning experiment tracking and data versioning with DVC extension for VS Code☆214Updated this week
- An open-source AutoML Library based on PyTorch☆308Updated 2 months ago
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆670Updated 10 months ago
- 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.☆345Updated 3 years ago
- skops is a Python library helping you share your scikit-learn based models and put them in production☆504Updated last week
- Toolkit for developing and maintaining ML models☆154Updated last year
- PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more☆230Updated 2 years ago
- MLOps Python Library☆120Updated 3 years ago
- A toolkit that streamlines and automates the generation of model cards☆441Updated 2 years ago
- Get started DVC project (NLP, random forest)☆189Updated last year
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆509Updated 3 months ago
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated 3 months ago
- 💫 PyScaffold extension for data-science projects☆158Updated 2 weeks ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆229Updated last month
- Natural Intelligence is still a pretty good idea.☆823Updated last year
- 🐦 Quickly annotate data from the comfort of your Jupyter notebook☆788Updated last year
- 🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)☆81Updated 3 years ago
- Streamline scikit-learn model comparison.☆143Updated 3 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆320Updated 8 months ago