IDSIA / sacredLinks
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
☆4,355Updated 3 months ago
Alternatives and similar repositories for sacred
Users that are interested in sacred are comparing it to the libraries listed below
Sorting:
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,727Updated last week
- Web-based dashboard for Sacred☆548Updated 2 years ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,605Updated last week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,149Updated last month
- Gin provides a lightweight configuration framework for Python☆2,149Updated last week
- A Python toolbox for performing gradient-free optimization☆4,144Updated 7 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,808Updated last year
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,463Updated 4 months ago
- Version control for machine learning☆1,671Updated 11 months ago
- Accelerated deep learning R&D☆3,368Updated 7 months ago
- Model interpretability and understanding for PyTorch☆5,535Updated this week
- Live training loss plot in Jupyter Notebook for Keras, PyTorch and others☆1,321Updated 3 weeks ago
- Parallel t-SNE implementation with Python and Torch wrappers.☆1,914Updated last year
- Bayesian optimization in PyTorch☆3,452Updated this week
- Train AI models efficiently on medical images using any framework☆1,876Updated last year
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,176Updated 3 years ago
- Spearmint Bayesian optimization codebase☆1,563Updated 6 years ago
- Adaptive Experimentation Platform☆2,690Updated this week
- Python library to easily log experiments and parallelize hyperparameter search for neural networks☆735Updated 3 years ago
- Uniform Manifold Approximation and Projection☆8,070Updated this week
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,987Updated 2 months ago
- HiPlot makes understanding high dimensional data easy☆2,801Updated 2 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 2 weeks ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,754Updated this week
- Experiment tracking, ML developer tools☆898Updated 8 months ago
- Neural network visualization toolkit for keras☆2,994Updated 3 years ago
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,518Updated last year
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,842Updated last year
- A Python toolbox for gaining geometric insights into high-dimensional data☆1,878Updated 6 months ago
- A system for quickly generating training data with weak supervision☆5,937Updated last year