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…☆397Updated 10 months ago
- 🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.☆153Updated this week
- ML pipeline orchestration and model deployments on Kubernetes.☆433Updated 2 years ago
- 🐶 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.☆516Updated last year
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆293Updated 11 months ago
- 🎲 A curated list of MLOps projects, tools and resources☆185Updated last year
- UnionML: the easiest way to build and deploy machine learning microservices☆336Updated 2 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆468Updated 3 years ago
- DagsHub client libraries☆101Updated last week
- Natural Intelligence is still a pretty good idea.☆822Updated last year
- 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
- 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.☆344Updated 3 years ago
- An open-source AutoML Library based on PyTorch☆306Updated last month
- 📈 Log and track ML metrics, parameters, models with Git and/or DVC☆181Updated this week
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆99Updated last month
- skops is a Python library helping you share your scikit-learn based models and put them in production☆501Updated last week
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆614Updated 6 months ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆228Updated this week
- spock is a framework that helps manage complex parameter configurations during research and development of Python applications☆141Updated 2 years ago
- A small python library that can clump lists of data together.☆151Updated 3 years ago
- Toolkit for developing and maintaining ML models☆154Updated last year
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆509Updated 2 months ago
- aim-mlflow integration☆224Updated 2 years ago
- Streamline scikit-learn model comparison.☆143Updated 2 years ago
- ☆703Updated 3 years ago
- MLOps Python Library☆120Updated 3 years ago
- Machine learning experiment tracking and data versioning with DVC extension for VS Code☆211Updated this week
- Super lightweight function registries for your library☆180Updated last year
- Deploy MLflow with HTTP basic authentication using Docker☆104Updated last week