automl / labwatchLinks
An extension to Sacred for automated hyperparameter optimization.
☆59Updated 7 years ago
Alternatives and similar repositories for labwatch
Users that are interested in labwatch are comparing it to the libraries listed below
Sorting:
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆111Updated 3 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Functional ANOVA☆125Updated 7 months ago
- Streamlined machine learning experiment management.☆107Updated 5 years ago
- Research code need not be ugly.☆77Updated 2 years ago
- Dashboard for sacred. Monitor and access your past machine learning experiments.☆185Updated 6 years ago
- AI-ON Consciousness Prior☆97Updated 7 years ago
- Future Gadget Machine☆68Updated 7 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- Tools for loading standard data sets in machine learning☆205Updated 3 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆192Updated 2 years ago
- Exponential Machines implementation☆42Updated 8 months ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Automatic differentiation + optimization☆102Updated 6 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- LaTeX package for randomizing author order based on a public seed.☆40Updated 10 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 8 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Updated 3 years ago
- Interactively retrieve data from sacred experiments.☆83Updated last week
- Exploring differentiation with respect to hyperparameters☆295Updated 9 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 4 years ago
- learning to search in pytorch☆110Updated 5 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago