IDSIA / sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
☆4,285Updated 3 months ago
Alternatives and similar repositories for sacred:
Users that are interested in sacred are comparing it to the libraries listed below
- Web-based dashboard for Sacred☆549Updated 2 years ago
- A Python toolbox for performing gradient-free optimization☆4,015Updated last week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,364Updated last month
- A scikit-learn compatible neural network library that wraps PyTorch☆5,986Updated last week
- Efficiently computes derivatives of NumPy code.☆7,193Updated this week
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,438Updated last year
- Lime: Explaining the predictions of any machine learning classifier☆11,810Updated 7 months ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,598Updated this week
- Deep universal probabilistic programming with Python and PyTorch☆8,693Updated last week
- Gin provides a lightweight configuration framework for Python☆2,088Updated 3 months ago
- A collection of infrastructure and tools for research in neural network interpretability.☆4,686Updated 2 years ago
- A system for quickly generating training data with weak supervision☆5,840Updated 10 months ago
- Bayesian optimization in PyTorch☆3,199Updated this week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,768Updated 2 years ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆4,982Updated last month
- MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle☆3,613Updated 2 weeks ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,796Updated last month
- 🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code☆2,802Updated last year
- Live training loss plot in Jupyter Notebook for Keras, PyTorch and others☆1,309Updated 2 months ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,092Updated last year
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,834Updated last year
- Visualizations for machine learning datasets☆7,364Updated last year
- HiPlot makes understanding high dimensional data easy☆2,783Updated last year
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,665Updated last week
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆6,944Updated 2 weeks ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,423Updated last month
- Automated Machine Learning with scikit-learn☆7,773Updated last month
- Model interpretability and understanding for PyTorch☆5,126Updated last week
- Build Graph Nets in Tensorflow☆5,381Updated 2 years ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,323Updated last month