Alternatives and similar repositories for omniboard:

Users that are interested in omniboard are comparing it to the libraries listed below

• chovanecm / sacredboard
  Dashboard for sacred. Monitor and access your past machine learning experiments.
  ☆183Updated 6 years ago
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,295Updated 4 months ago
• williamFalcon / test-tube
  Python library to easily log experiments and parallelize hyperparameter search for neural networks
  ☆735Updated 2 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• guildai / guildai
  Experiment tracking, ML developer tools
  ☆877Updated last year
• pytorch / contrib
  Implementations of ideas from recent papers
  ☆393Updated 4 years ago
• pytorchbearer / torchbearer
  torchbearer: A model fitting library for PyTorch
  ☆640Updated last year
• szymonmaszke / torchlayers
  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
  ☆571Updated 2 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆887Updated 11 months ago
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆572Updated 4 months ago
• google-research / robustness_metrics
  ☆468Updated 8 months ago
• suriyadeepan / torchtest
  Unit Testing for pytorch, based on mltest
  ☆310Updated 4 years ago
• Epistimio / orion
  Asynchronous Distributed Hyperparameter Optimization.
  ☆292Updated 2 months ago
• chaserileyroberts / mltest
  Testing framework to simplify writing ML unit tests.
  ☆348Updated 5 years ago
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆616Updated 2 years ago
• jonasrauber / eagerpy
  PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
  ☆696Updated 2 years ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆504Updated 7 months ago
• msamogh / nonechucks
  Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!
  ☆377Updated 2 years ago
• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆337Updated 4 years ago
• JarnoRFB / incense
  Interactively retrieve data from sacred experiments.
  ☆82Updated last month
• inferno-pytorch / inferno
  A utility library around PyTorch
  ☆244Updated 2 years ago
• szymonmaszke / torchdatasets
  PyTorch dataset extended with map, cache etc. (tensorflow.data like)
  ☆329Updated 2 years ago
• baal-org / baal
  Bayesian active learning library for research and industrial usecases.
  ☆895Updated 9 months ago
• szymonmaszke / torchfunc
  PyTorch functions and utilities to make your life easier
  ☆195Updated 4 years ago
• harvardnlp / namedtensor
  Named Tensor implementation for Torch
  ☆444Updated 2 years ago
• ofnote / tsalib
  Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)
  ☆265Updated 4 years ago
• pytorch / elastic
  PyTorch elastic training
  ☆730Updated 2 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆705Updated 4 years ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆670Updated 2 years ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆400Updated 4 years ago