Yerainsun

verilog-eval

Verilog evaluation benchmark for large language model

benchmarks

EPFL logic synthesis benchmarks

AxBench

AxBench

maestro

An analytical cost model evaluating DNN mappings (dataflows and tiling).

digamma

gamma-timeloop

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

TimingPredict

Official open source repository for "A Timing Engine Inspired Graph Neural Network Model for Pre-Routing Slack Prediction" (DAC 2022)

BalancedMSE

[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427

HAN

Heterogeneous Graph Neural Network

pyHGT

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

KDD2019-MEIRec

KDD2019-Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation

SDCN

Structural Deep Clustering Network

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling

Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"

GATwithEFA_PyTorch

Realization of stroke classification method Graph Attention Network with Edge Feature Attention using PyTorch.

ndetectATPG

Layout-aware ndetectATPG

bescoap

Calculate SCOAP testability parameters for a given Bench file

sis

Code modernization of the SIS logic optimizer

AnomalyDAE

AnomalyDAE (ICASSP2020)

GCN_AnomalyDetection

Code for Deep Anomaly Detection on Attributed Networks (SDM2019)

SimpleBaseline

[ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

pygcn

Graph Convolutional Networks in PyTorch

gcn

Implementation of Graph Convolutional Networks in TensorFlow

atpg

An automatic test pattern generation (ATPG) and fault simulation system.

SequentialCircuitSimulatorWithFaults

Simulates sequential circuit given stuck at faults

structure_knowledge_distillation

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.