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
Alternatives and similar repositories for MACE
Users that are interested in MACE are comparing it to the libraries listed below
Sorting:
- Python implementation of the MACE Bayesian optimization algorithm, with GPy used as the backend GP library☆19Updated 6 years ago
- Python implementation of the Max-value Entropy Search for Multi-Objective Bayesian Optimization method☆27Updated 3 years ago
- MLCAD 2020: Reinforcement for logic optimization sequence exploration☆28Updated 4 years ago
- Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"☆39Updated 2 years ago
- LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models☆22Updated 2 years ago
- [ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/☆106Updated last year
- ☆29Updated last year
- Open Circuit Benchmark OCB and source code for CktGNN (https://openreview.net/forum?id=NE2911Kq1sp).☆58Updated last year
- Official implementation of NeurIPS'23 paper "Macro Placement by Wire-Mask-Guided Black-Box Optimization"☆22Updated last month
- Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks (DAC'23)☆50Updated 4 months ago
- ☆40Updated this week
- ☆16Updated 3 years ago
- This is an official implementation for "DeepGate: Learning Neural Representations of Logic Gates".☆21Updated last year
- ☆23Updated 2 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Problems and Results of IWLS 2023 Programming Contest☆17Updated last month
- REST, a reinforcement learning framework for constructing rectilinear Steiner Minimum tree (RSMT)☆55Updated 3 years ago
- Multi-fidelity Gaussian Process Bandit Optimisation☆40Updated 8 years ago
- DRiLLS: Deep Reinforcement Learning for Logic Synthesis Optimization (ASPDAC'20)☆113Updated 2 years ago
- Implementation of hMETIS☆11Updated 2 years ago
- LLM-Enhanced Bayesian Optimization for Efficient Analog Constraint Generation☆19Updated 6 months ago
- Batched High-dimensional Bayesian Optimization via Structural Kernel Learning☆14Updated 6 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆55Updated 2 years ago
- ☆21Updated 2 years ago
- Hypergraph Partitioning: benchmarks, evaluators, best known solutions and codes☆67Updated last week
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆15Updated 3 years ago
- ☆13Updated 4 years ago
- Deep Reinforcement Learning of Analog Circuit Designs☆110Updated last year
- ☆16Updated 3 years ago
- ☆31Updated 3 years ago