Alternatives and similar repositories for SACRED_HyperOpt_v2

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

• chovanecm / sacredboard
  Dashboard for sacred. Monitor and access your past machine learning experiments.
  ☆184Updated 6 years ago
• cgnorthcutt / hypopt
  ⏸ Parallelized hyper-param optimization with validation set, not crossval
  ☆90Updated 2 years ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆97Updated 4 years ago
• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆338Updated 4 years ago
• AndreasMadsen / python-lrcurve
  Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
  ☆177Updated 3 years ago
• IBM / pytorchpipe
  PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…
  ☆226Updated 5 years ago
• facebookresearch / dagger
  Experiment orchestration
  ☆103Updated 5 years ago
• szymonmaszke / torchfunc
  PyTorch functions and utilities to make your life easier
  ☆195Updated 4 years ago
• sicara / gpumonitor
  TF 2.x and PyTorch Lightning Callbacks for GPU monitoring
  ☆92Updated 5 years ago
• JarnoRFB / incense
  Interactively retrieve data from sacred experiments.
  ☆82Updated last month
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 4 years ago
• PetrochukM / HParams
  Configure Python functions explicitly and safely
  ☆126Updated 8 months ago
• ideonate / jupyter-innotater
  Inline data annotator for Jupyter notebooks
  ☆180Updated 2 years ago
• Tgaaly / pytorch-cheatsheet
  Pytorch Cheatsheet
  ☆90Updated 7 years ago
• OverLordGoldDragon / keras-adamw
  Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
  ☆168Updated 3 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆97Updated 10 months ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆398Updated 4 years ago
• fastai / fastscript
  A fast way to turn your python function into a script
  ☆164Updated 3 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 5 years ago
• inferno-pytorch / inferno
  A utility library around PyTorch
  ☆244Updated 2 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated last year
• lnsmith54 / hyperParam1
  ☆89Updated 7 years ago
• LGE-ARC-AdvancedAI / auptimizer
  An automatic ML model optimization tool.
  ☆199Updated 2 years ago
• ofnote / tsalib
  Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)
  ☆267Updated 5 years ago
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆241Updated 2 years ago
• noahgolmant / skeletor
  A tiny module for machine learning experiment orchestration
  ☆63Updated 5 years ago
• cybertronai / ncluster
  Lightweight interface to AWS
  ☆47Updated 5 years ago
• suriyadeepan / torchtest
  Unit Testing for pytorch, based on mltest
  ☆312Updated 4 years ago
• Vermeille / Torchelie
  Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
  ☆110Updated 7 months ago