IDSIA / sacredLinks
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
☆4,331Updated last week
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☆549Updated 2 years ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,113Updated 3 weeks ago
- A Python toolbox for performing gradient-free optimization☆4,114Updated 3 months ago
- Gin provides a lightweight configuration framework for Python☆2,122Updated this week
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,835Updated last year
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,698Updated this week
- Bayesian optimization in PyTorch☆3,342Updated this week
- Deep universal probabilistic programming with Python and PyTorch☆8,853Updated 2 months ago
- Python library to easily log experiments and parallelize hyperparameter search for neural networks☆735Updated 3 years ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,468Updated 3 months ago
- Efficiently computes derivatives of NumPy code.☆7,347Updated last week
- Adaptive Experimentation Platform☆2,566Updated last week
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,763Updated last week
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,482Updated last year
- Train AI models efficiently on medical images using any framework☆1,873Updated last year
- Spearmint Bayesian optimization codebase☆1,560Updated 5 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,792Updated last year
- Experiment tracking, ML developer tools☆888Updated 4 months ago
- A collection of infrastructure and tools for research in neural network interpretability.☆4,701Updated 2 years ago
- HiPlot makes understanding high dimensional data easy☆2,801Updated last year
- Version control for machine learning☆1,670Updated 6 months ago
- 🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code☆2,817Updated 2 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,358Updated last year
- Live training loss plot in Jupyter Notebook for Keras, PyTorch and others☆1,318Updated 5 months ago
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,452Updated 2 years ago
- Accelerated deep learning R&D☆3,359Updated 2 months ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,136Updated last year
- Gaussian processes in TensorFlow☆1,890Updated 3 months ago
- A system for quickly generating training data with weak supervision☆5,913Updated last year
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,465Updated last month