Alternatives and similar repositories for bohb-hpo

Users that are interested in bohb-hpo are comparing it to the libraries listed below

• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 5 years ago
• rtu715 / NAS-Bench-360
  Introducing diverse tasks for NAS
  ☆50Updated 2 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• xiaoiker / NAS-With-Code
  Neural Architecture Search (NAS) papers with code
  ☆159Updated 3 years ago
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆116Updated 5 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆46Updated 5 years ago
• automl / nas_benchmarks
  ☆97Updated 6 years ago
• prolearner / hypertorch
  ☆124Updated last year
• varungohil / Generalizing-Lottery-Tickets
  This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery …
  ☆50Updated last year
• naszilla / naszilla
  Naszilla is a Python library for neural architecture search (NAS)
  ☆314Updated 2 years ago
• pomonam / Self-Tuning-Networks
  PyTorch implementation of "STNs" and "Delta-STNs".
  ☆50Updated 4 years ago
• 201419 / Optimizer-PyTorch
  Package of Optimizer implemented with PyTorch .
  ☆66Updated 5 years ago
• QUVA-Lab / COMBO
  ☆50Updated last year
• Thrandis / EKFAC-pytorch
  Repository containing Pytorch code for EKFAC and K-FAC perconditioners.
  ☆147Updated 2 years ago
• KhrulkovV / tt-pytorch
  ☆60Updated 5 years ago
• yiminzme / awesome-bayesian-optimization
  a curated list of bayesian optimization tutorials, papers, softwares
  ☆30Updated 4 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆29Updated 5 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆78Updated 6 years ago
• jbr-ai-labs / bbo-challenge-jetbrains-research
  Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.
  ☆21Updated 4 years ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆104Updated 5 years ago
• wjmaddox / drbayes
  Code Repo for "Subspace Inference for Bayesian Deep Learning"
  ☆83Updated last year
• damaru2 / ntk
  NTK reading group
  ☆87Updated 5 years ago
• amirgholami / HessianFlow
  ☆83Updated 5 years ago
• daizhongxiang / Bayesian-Optimization-Meets-Bayesian-Optimal-Stopping
  Bayesian Optimization Meets Bayesian Optimal Stopping
  ☆32Updated 5 years ago
• rajatvd / NeuralODE
  Experiments with Neural ODEs and Adversarial Attacks
  ☆45Updated 6 years ago
• automl / pybnn
  Bayesian neural network package
  ☆152Updated 4 years ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆50Updated 4 years ago
• HayeonLee / MetaD2A
  Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
  ☆64Updated last year
• ryanchankh / redunet_demo
  ☆84Updated 4 years ago
• rubinxin / CoCaBO_code
  Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)
  ☆51Updated 6 years ago