Alaya-in-Matrix / MACE

Related projects ⓘ

Alternatives and complementary repositories for MACE

• Alaya-in-Matrix / pyMACE
  Python implementation of the MACE Bayesian optimization algorithm, with GPy used as the backend GP library
  ☆17Updated 6 years ago
• belakaria / MESMO
  Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method
  ☆26Updated 3 years ago
• lydiawunan / LOSTIN
  LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models
  ☆18Updated 2 years ago
• CODA-Team / AnalogGym
  ☆18Updated last month
• scale-lab / DRiLLS
  DRiLLS: Deep Reinforcement Learning for Logic Synthesis Optimization (ASPDAC'20)
  ☆102Updated last year
• hehaodele / circuit-gnn
  [ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/
  ☆95Updated last year
• parastuffs / metis_unicorn
  Implementation of hMETIS
  ☆10Updated 2 years ago
• ksettaluri6 / AutoCkt
  Deep Reinforcement Learning of Analog Circuit Designs
  ☆97Updated last year
• Lanselott / R-HSD
  (DAC2019 / TCAD2020) Faster Region-based Hotspot Detection.
  ☆17Updated last year
• krzhu / abcRL
  MLCAD 2020: Reinforcement for logic optimization sequence exploration
  ☆26Updated 4 years ago
• ai4eda / awesome-AI4EDA
  This repo awesome-AI4EDA contains the source for the webpage: https://ai4eda.github.io, which is a curated paper list of awesome AI for E…
  ☆127Updated 4 months ago
• kouroshHakha / bagnet_ngspice
  ☆16Updated 2 years ago
• baloneymath / AncstrGNN
  ☆15Updated 3 years ago
• cure-lab / DeepGate
  This is an official implementation for "DeepGate: Learning Neural Representations of Logic Gates".
  ☆19Updated last year
• MasashiSode / MOBO
  constrained/unconstrained multi-objective bayesian optimization package.
  ☆41Updated 2 years ago
• TILOS-AI-Institute / MLCAD-2023-FPGA-Macro-Placement-Contest
  ☆29Updated last year
• TimingPredict / TimingPredict
  Official open source repository for "A Timing Engine Inspired Graph Neural Network Model for Pre-Routing Slack Prediction" (DAC 2022)
  ☆63Updated 2 months ago
• JBlocklove / LLMs-for-EDA-Tutorial
  ☆44Updated last month
• hkust-zhiyao / APPLE
  A circuit-element level explainer to explain machine learning model's prediction on chip layouts.
  ☆17Updated last year
• zi-w / Structural-Kernel-Learning-for-HDBBO
  Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
  ☆14Updated 5 years ago
• dekura / LLANA
  LLM-Enhanced Bayesian Optimization for Efficient Analog Constraint Generation
  ☆10Updated last week
• laiyao1 / chipformer
  The release for ICML 2023 paper
  ☆35Updated 4 months ago
• aryandeshwal / HyBO
  ☆23Updated last year
• zehao-dong / CktGNN
  Open Circuit Benchmark OCB and source code for CktGNN (https://openreview.net/forum?id=NE2911Kq1sp).
  ☆44Updated last year
• TILOS-AI-Institute / HypergraphPartitioning
  Hypergraph Partitioning: benchmarks, evaluators, best known solutions and codes
  ☆58Updated 2 weeks ago
• Yu-Maryland / Gamora
  Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks (DAC'23)
  ☆47Updated this week
• bu-icsg / TAP-2.5D
  ☆23Updated 3 years ago
• NVlabs / iccad2020-GPUgatesim
  ☆12Updated 4 years ago
• ASU-VDA-Lab / ASP-DAC24-Tutorial
  This GitHub repo is for the OpenROAD and CircuitOps Tutorial at ASP-DAC 2024
  ☆30Updated this week
• cuhk-eda / CULS
  GPU-based logic synthesis tool
  ☆67Updated 3 months ago