zhengqigao/Learning-from-Multiple-Annotator-Noisy-Labels

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zhengqigao/Learning-from-Multiple-Annotator-Noisy-Labels

zhengqigao

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Code for our paper 'Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion' published on ECCV 2022

PRML-Solution-Manual

My Own Solution Manual of PRML

Awesome-PDA

A collection of papers in the area of photonic design automation

BayesOpt-JLT2022

Code for our paper 'Automatic Synthesis of Broadband Silicon Photonic Devices via Bayesian Optimization'

Sampler

A python package for sampling methods and flow models

spode

A simulator with programmable photonics and differentiability emphasis

Jupyter Notebook

FGFC

Fudan-Graduated Faculty Collection (FGFC)

CACHEFE

SRAM Failure Rate Estimation

kirchhoffnet

KirchhoffNet: A Scalable Ultra Fast Analog Neural Network

NOFIS-DAC24

NOFIS: Normalizing Flow for Rare Circuit Failure Analysis

zhengqigao.github.io

multi-corner-yield-estimation

This is the repo for multi-corner parametric yield estimation by Bayesian Inference

TTM-challenge-CVPR-23

multi-corner-failure-rate-estimation

This is the code for multi-corner failure rate estimation published on TCAD.

lightsim

An open-source error simulator for photonic-electronic AI accelerator