Alternatives and similar repositories for hyperlearn:

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

• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,981Updated last month
• rapidsai / cuml
  cuML - RAPIDS Machine Learning Library
  ☆4,457Updated this week
• tensorflow / adanet
  Fast and flexible AutoML with learning guarantees.
  ☆3,462Updated last year
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆705Updated 4 years ago
• tobegit3hub / advisor
  Open-source implementation of Google Vizier for hyper parameters tuning
  ☆1,553Updated 5 years ago
• keras-team / keras-tuner
  A Hyperparameter Tuning Library for Keras
  ☆2,876Updated 3 months ago
• microsoft / hummingbird
  Hummingbird compiles trained ML models into tensor computation for faster inference.
  ☆3,398Updated last month
• AnswerDotAI / fastprogress
  Simple and flexible progress bar for Jupyter Notebook and console
  ☆1,089Updated 6 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,763Updated last year
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,299Updated 2 weeks ago
• automl / Auto-PyTorch
  Automatic architecture search and hyperparameter optimization for PyTorch
  ☆2,430Updated 11 months ago
• tensorflow / model-analysis
  Model analysis tools for TensorFlow
  ☆1,262Updated last month
• guildai / guildai
  Experiment tracking, ML developer tools
  ☆875Updated last year
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,193Updated this week
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,012Updated last week
• explosion / thinc
  🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
  ☆2,833Updated this week
• autonomio / talos
  Hyperparameter Experiments with TensorFlow and Keras
  ☆1,632Updated 10 months ago
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆571Updated 3 months ago
• dask / dask-ml
  Scalable Machine Learning with Dask
  ☆922Updated last month
• aimhubio / aim
  Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
  ☆5,389Updated this week
• TDAmeritrade / stumpy
  STUMPY is a powerful and scalable Python library for modern time series analysis
  ☆3,812Updated last month
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,589Updated this week
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,610Updated 8 months ago
• uber / manifold
  A model-agnostic visual debugging tool for machine learning
  ☆1,653Updated last month
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,187Updated this week
• Luolc / AdaBound
  An optimizer that trains as fast as Adam and as good as SGD.
  ☆2,909Updated last year
• tensorflow / lucid
  A collection of infrastructure and tools for research in neural network interpretability.
  ☆4,686Updated 2 years ago
• tensorly / tensorly
  TensorLy: Tensor Learning in Python.
  ☆1,601Updated last week
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,682Updated last week
• Lightning-AI / lightning-thunder
  Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors a…
  ☆1,301Updated this week