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
☆387Updated 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…☆394Updated 6 months ago
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆720Updated last year
- ML pipeline orchestration and model deployments on Kubernetes.☆435Updated last year
- Doubt your data, find bad labels.☆513Updated last year
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆294Updated 7 months ago
- 🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.☆149Updated 3 weeks ago
- UnionML: the easiest way to build and deploy machine learning microservices☆335Updated last year
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated last year
- An open-source AutoML Library based on PyTorch☆307Updated last week
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 2 years ago
- DagsHub client libraries☆96Updated last week
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆667Updated 4 months ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆218Updated 2 weeks ago
- skops is a Python library helping you share your scikit-learn based models and put them in production☆491Updated 3 weeks ago
- PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more☆228Updated last year
- 📈 Log and track ML metrics, parameters, models with Git and/or DVC☆179Updated last week
- ☆704Updated 2 years ago
- 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.☆343Updated 3 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆208Updated 2 years ago
- Examples of data science projects created with Kedro.☆172Updated 2 years ago
- Get started DVC project (NLP, random forest)☆181Updated last year
- Natural Intelligence is still a pretty good idea.☆817Updated last year
- Toolkit for developing and maintaining ML models☆154Updated last year
- The Fuzzy Labs guide to the universe of open source MLOps☆469Updated last month
- Streamline scikit-learn model comparison.☆143Updated 2 years ago
- 🐦 Quickly annotate data from the comfort of your Jupyter notebook☆786Updated last year
- MLOps Python Library☆119Updated 3 years ago
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated 2 months ago
- 💫 PyScaffold extension for data-science projects☆160Updated 3 weeks ago
- 🐦 Quickly annotate data from the comfort of your Jupyter notebook☆278Updated 2 years ago