sherpa-ai / sherpa

Related projects: ⓘ

• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆591Updated 6 years ago
• automl / HpBandSter
  a distributed Hyperband implementation on Steroids
  ☆609Updated last year
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆570Updated 2 months ago
• kevinzakka / hypersearch
  ☆399Updated this week
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 4 years ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆401Updated 4 years ago
• GPflow / GPflowOpt
  Bayesian Optimization using GPflow
  ☆270Updated 3 years ago
• jmschrei / apricot
  apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models qui…
  ☆497Updated 3 weeks ago
• OATML / bdl-benchmarks
  Bayesian Deep Learning Benchmarks
  ☆661Updated last year
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆181Updated 5 years ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆390Updated 4 months ago
• google-research / tensorflow_constrained_optimization
  ☆300Updated 3 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆704Updated 3 years ago
• amarasovic / interpretability-literature
  ☆264Updated 4 years ago
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆472Updated 3 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆111Updated 8 months ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆171Updated last year
• deephyper / deephyper
  DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
  ☆271Updated this week
• jonasrauber / eagerpy
  PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code
  ☆695Updated last year
• google / edward2
  A simple probabilistic programming language.
  ☆673Updated last week
• vivekratnavel / omniboard
  Web-based dashboard for Sacred
  ☆544Updated last year
• AndreasMadsen / python-lrcurve
  Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
  ☆175Updated 2 years ago
• automl / ConfigSpace
  Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.
  ☆202Updated 3 weeks ago
• szymonmaszke / torchlayers
  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
  ☆568Updated 2 years ago
• NVIDIA / framework-reproducibility
  Providing reproducibility in deep learning frameworks
  ☆424Updated 4 months ago
• AIworx-Labs / chocolate
  A fully decentralized hyperparameter optimization framework
  ☆121Updated 2 months ago
• google / uncertainty-metrics
  ☆146Updated this week
• titu1994 / keras-one-cycle
  Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)
  ☆285Updated 4 years ago
• probtorch / probtorch
  Probabilistic Torch is library for deep generative models that extends PyTorch
  ☆886Updated 4 months ago
• chaserileyroberts / mltest
  Testing framework to simplify writing ML unit tests.
  ☆346Updated 4 years ago