iterative / dvcLinks
π¦ Data Versioning and ML Experiments
β14,542Updated this week
Alternatives and similar repositories for dvc
Users that are interested in dvc are comparing it to the libraries listed below
Sorting:
- Build, Manage and Deploy AI/ML Systemsβ8,888Updated this week
- βΎοΈ CML - Continuous Machine Learning | CI/CD for MLβ4,107Updated 2 weeks ago
- Open source platform for the machine learning lifecycleβ20,838Updated this week
- Parallel computing with task schedulingβ13,266Updated this week
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!β7,787Updated this week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.β14,512Updated last month
- Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering andβ¦β10,384Updated this week
- A hyperparameter optimization frameworkβ12,108Updated this week
- π Parameterize, execute, and analyze notebooksβ6,192Updated 2 months ago
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and moreβ32,533Updated this week
- Distributed Asynchronous Hyperparameter Optimization in Pythonβ7,432Updated 3 weeks ago
- Fit interpretable models. Explain blackbox machine learning.β6,523Updated this week
- Create delightful software with Jupyter Notebooksβ5,103Updated 2 months ago
- An open source python library for automated feature engineeringβ7,460Updated last week
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per sβ¦β8,393Updated 8 months ago
- Trax β Deep Learning with Clear Code and Speedβ8,220Updated 2 months ago
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.β37,473Updated this week
- A game theoretic approach to explain the output of any machine learning model.β24,007Updated this week
- cuDF - GPU DataFrame Libraryβ8,987Updated this week
- Modin: Scale your Pandas workflows by changing a single line of codeβ10,192Updated this week
- A simple and efficient tool to parallelize Pandas operations on all availableΒ CPUsβ3,773Updated 11 months ago
- Hydra is a framework for elegantly configuring complex applicationsβ9,389Updated last month
- Visualizations for machine learning datasetsβ7,376Updated 2 years ago
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on singβ¦β27,002Updated this week
- Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to diskβ13,801Updated 10 months ago
- A system for quickly generating training data with weak supervisionβ5,867Updated last year
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning modelsβ4,548Updated this week
- Deep universal probabilistic programming with Python and PyTorchβ8,790Updated last month
- MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycleβ3,645Updated this week
- A scikit-learn compatible neural network library that wraps PyTorchβ6,047Updated last month