Alternatives and similar repositories for pyMACE

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

• Alaya-in-Matrix / MACE
  code for the ICML2018 paper "Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design"
  ☆27Updated 6 years ago
• belakaria / MESMO
  Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method
  ☆27Updated 3 years ago
• zehao-dong / CktGNN
  Open Circuit Benchmark OCB and source code for CktGNN (https://openreview.net/forum?id=NE2911Kq1sp).
  ☆58Updated last year
• kouroshHakha / bagnet_ngspice
  ☆16Updated 3 years ago
• baloneymath / AncstrGNN
  ☆16Updated 4 years ago
• facebookresearch / morbo
  Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
  ☆57Updated 2 years ago
• lamda-bbo / MCTS-VS
  Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
  ☆40Updated 2 years ago
• lydiawunan / LOSTIN
  LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models
  ☆22Updated 3 years ago
• DfX-NYUAD / GNN4IC
  Must-read papers on Graph Neural Networks (GNNs) for Integrated Circuits (ICs) design, security and reliability.
  ☆54Updated 2 months ago
• kouroshHakha / circuit-fewshot-code
  ☆12Updated 2 years ago
• zi-w / Structural-Kernel-Learning-for-HDBBO
  Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
  ☆14Updated 6 years ago
• magical-eda / UT-AnLay
  Analog Placement Quality Prediction
  ☆21Updated 2 years ago
• lamda-bbo / WireMask-BBO
  Official implementation of NeurIPS'23 paper "Macro Placement by Wire-Mask-Guided Black-Box Optimization"
  ☆25Updated 2 weeks ago
• laiyao1 / ChiPFormer
  The release for ICML 2023 paper
  ☆47Updated 11 months ago
• yunshengtian / DGEMO
  [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations
  ☆106Updated 2 years ago
• Cadence-Celsius / DeepOHeat
  Code release of "DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design", DAC 2023. https://arxiv.org/pdf/2302.…
  ☆19Updated 9 months ago
• CODA-Team / AncstrGNN_benchmark
  Analog IC symmetry extraction benchmark of AncstrGNN
  ☆10Updated 9 months ago
• CODA-Team / AnalogGym
  ☆44Updated last week
• ksettaluri6 / AutoCkt
  Deep Reinforcement Learning of Analog Circuit Designs
  ☆111Updated last year
• AMS-Net / ams-net.github.io
  ☆29Updated 11 months ago
• krzhu / abcRL
  MLCAD 2020: Reinforcement for logic optimization sequence exploration
  ☆28Updated 4 years ago
• dekura / LLANA
  LLM-Enhanced Bayesian Optimization for Efficient Analog Constraint Generation
  ☆19Updated 7 months ago
• kirthevasank / mf-gp-ucb
  Multi-fidelity Gaussian Process Bandit Optimisation
  ☆40Updated 8 years ago
• hehaodele / circuit-gnn
  [ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/
  ☆109Updated last year
• Lanselott / R-HSD
  (DAC2019 / TCAD2020) Faster Region-based Hotspot Detection.
  ☆23Updated last year
• TILOS-AI-Institute / MLCAD-2023-FPGA-Macro-Placement-Contest
  ☆29Updated last year
• XZT008 / Standard-GP-is-all-you-need-for-HDBO
  Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks
  ☆11Updated last month
• cuhk-eda / REST
  REST, a reinforcement learning framework for constructing rectilinear Steiner Minimum tree (RSMT)
  ☆55Updated 3 years ago
• PKUterran / NetlistGNN
  ☆43Updated 2 years ago
• lrakai / gate-sizing
  Optimal gate sizing of digital circuits using geometric programming
  ☆11Updated 8 years ago