Logic optimization and technology mapping tool.

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at…

TAPA is a dataflow HLS framework that features fast compilation, expressive programming model and generates high-frequency FPGA accelerators.

[FPGA 2021, Best Paper Award] An automated floorplanning and pipelining tool for Vivado HLS.

A scalable High-Level Synthesis framework on MLIR

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

PandA-bambu public repository

Backing repository for CS107e site. Don't commit here (automatically managed). Read content on website

Bayesian optimization in PyTorch

Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization

FSL-Mate: A collection of resources for few-shot learning (FSL).

Bayesian optimisation library developped by Huawei Noah's Ark Lab

Code accompanying https://arxiv.org/abs/1802.02219

Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces

Black-box Optimizer based on Bayesian Optimization

Machine learning on FPGAs using HLS

Distributed Asynchronous Hyperparameter Optimization in Python

高斯过程回归

DAC'22 paper: "Automated Accelerator Optimization Aided by Graph Neural Networks"

IronMan+alpha: Graph Neural Network and Reinforcement Learning in High-Level Synthesis

A hyperparameter optimization framework

High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing