Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
☆4,358Oct 22, 2025Updated 4 months ago
Alternatives and similar repositories for sacred
Users that are interested in sacred are comparing it to the libraries listed below
Sorting:
- Web-based dashboard for Sacred☆548Feb 1, 2023Updated 3 years ago
- Dashboard for sacred. Monitor and access your past machine learning experiments.☆184Mar 6, 2019Updated 7 years ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,150Feb 25, 2026Updated 2 weeks ago
- 🦉 Data Versioning and ML Experiments☆15,448Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,752Updated this week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,607Updated this week
- Experiment tracking, ML developer tools☆896Apr 29, 2025Updated 10 months ago
- MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle☆3,698Updated this week
- Future Gadget Laboratory☆222Mar 3, 2018Updated 8 years ago
- A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy☆10,243Mar 7, 2026Updated last week
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,989Feb 5, 2026Updated last month
- Deep universal probabilistic programming with Python and PyTorch☆8,991Jul 9, 2025Updated 8 months ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,843Mar 18, 2024Updated last year
- ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling …☆6,567Updated this week
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆30,926Updated this week
- Efficiently computes derivatives of NumPy code.☆7,463Updated this week
- Hydra is a framework for elegantly configuring complex applications☆10,256Feb 7, 2026Updated last month
- Gin provides a lightweight configuration framework for Python☆2,148Jan 14, 2026Updated 2 months ago
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆35,038Updated this week
- The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, a…☆24,730Updated this week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,676Dec 1, 2025Updated 3 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,049Sep 11, 2025Updated 6 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,395Feb 19, 2025Updated last year
- Model interpretability and understanding for PyTorch☆5,572Updated this week
- Adaptive Experimentation Platform☆2,714Updated this week
- Accelerated deep learning R&D☆3,372Jun 27, 2025Updated 8 months ago
- A game theoretic approach to explain the output of any machine learning model.☆25,106Mar 7, 2026Updated last week
- Uniform Manifold Approximation and Projection☆8,113Feb 25, 2026Updated 2 weeks ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,773Feb 10, 2026Updated last month
- A system for quickly generating training data with weak supervision☆5,940May 2, 2024Updated last year
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆41,773Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,423Feb 20, 2026Updated 3 weeks ago
- A collection of infrastructure and tools for research in neural network interpretability.☆4,703Feb 6, 2023Updated 3 years ago
- Lime: Explaining the predictions of any machine learning classifier☆12,105Jul 25, 2024Updated last year
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,838Mar 3, 2026Updated last week
- Modin: Scale your Pandas workflows by changing a single line of code☆10,364Feb 10, 2026Updated last month
- Bayesian optimization in PyTorch☆3,476Updated this week
- 📚 Parameterize, execute, and analyze notebooks☆6,397Mar 8, 2026Updated last week
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,091Feb 2, 2026Updated last month