yuvalatzmon / SACRED_HyperOpt_v2Links
A collection of classes, methods and examples, to integrate SACRED experiment framework with hyperopt distributed training.
☆18Updated 6 years ago
Alternatives and similar repositories for SACRED_HyperOpt_v2
Users that are interested in SACRED_HyperOpt_v2 are comparing it to the libraries listed below
Sorting:
- A toolset for black-box hyperparameter optimisation.☆136Updated 5 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆99Updated last year
- Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.☆344Updated 5 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆177Updated 3 years ago
- ⏸ Parallelized hyper-param optimization with validation set, not crossval☆91Updated 3 years ago
- Python implementation of GLN in different frameworks☆96Updated 5 years ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆400Updated 5 years ago
- PyTorch functions and utilities to make your life easier☆195Updated 4 years ago
- Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)☆266Updated 5 years ago
- Dashboard for sacred. Monitor and access your past machine learning experiments.☆185Updated 6 years ago
- TF 2.x and PyTorch Lightning Callbacks for GPU monitoring☆92Updated 5 years ago
- Better, faster hyper-parameter optimization☆113Updated last year
- Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era.☆205Updated 5 years ago
- Experiment orchestration☆102Updated 5 years ago
- Configure Python functions explicitly and safely☆128Updated last year
- An automatic ML model optimization tool.☆199Updated 2 years ago
- A simplified framework and utilities for PyTorch☆577Updated 7 months ago
- Pytorch Lightning seed project with hydra☆18Updated 5 years ago
- A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.☆219Updated 5 years ago
- A fast way to turn your python function into a script☆164Updated 3 years ago
- Implementing Bayes by Backprop☆184Updated 6 years ago
- Interactively retrieve data from sacred experiments.☆83Updated 2 weeks ago
- Fit your tensorflow model using fastai and PyTorch☆90Updated 6 years ago
- fastai V2 implementation of Timeseries classification papers.☆242Updated 3 years ago
- Concise deep learning for JAX☆183Updated 5 years ago
- Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.☆110Updated 2 weeks ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 4 years ago
- Web-based dashboard for Sacred☆548Updated 2 years ago
- Unit Testing for pytorch, based on mltest☆312Updated 5 years ago
- ☆87Updated 7 years ago