Alternatives and similar repositories for SACRED_HyperOpt_v2:

Users that are interested in SACRED_HyperOpt_v2 are comparing it to the libraries listed below

• facebookresearch / dagger
  Experiment orchestration
  ☆103Updated 4 years ago
• noahgolmant / skeletor
  A tiny module for machine learning experiment orchestration
  ☆63Updated 5 years ago
• automl / labwatch
  An extension to Sacred for automated hyperparameter optimization.
  ☆59Updated 6 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆96Updated 4 months ago
• chovanecm / sacredboard
  Dashboard for sacred. Monitor and access your past machine learning experiments.
  ☆183Updated 5 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆183Updated last year
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆106Updated 4 years ago
• automl / CAVE
  [deprecated] Configuration Assessment, Visualization and Evaluation
  ☆46Updated 2 years ago
• LucaAmbrogioni / Brancher
  A python library for stochastic variational inference and differentiable probabilistic programming
  ☆32Updated 5 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆96Updated 4 years ago
• tchaton / lightning-hydra-seed
  Pytorch Lightning seed project with hydra
  ☆18Updated 4 years ago
• sicara / gpumonitor
  TF 2.x and PyTorch Lightning Callbacks for GPU monitoring
  ☆92Updated 4 years ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• determined-ai / yogadl
  yogadl, the flexible data layer
  ☆74Updated last year
• GDPlumb / MAPLE
  Supervised Local Modeling for Interpretability
  ☆28Updated 6 years ago
• janfreyberg / superintendent
  Practical active learning in python
  ☆189Updated 2 years ago
• inferno-pytorch / speedrun
  Research code need not be ugly.
  ☆77Updated last year
• microsoft / Icebreaker
  This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…
  ☆43Updated 5 years ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 4 years ago
• JarnoRFB / incense
  Interactively retrieve data from sacred experiments.
  ☆82Updated last month
• akosiorek / forge
  Basic experiment framework for tensorflow.
  ☆92Updated 3 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆77Updated 10 months ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 3 years ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 4 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 3 years ago
• cybertronai / ncluster
  Lightweight interface to AWS
  ☆47Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated last year
• wdm0006 / sklearn-extensions
  A consolidated package of small extensions to scikit-learn
  ☆24Updated 2 years ago