Chengyu Dong (shwinshaker)

shwinshaker

Geek Repo

Company:UCSD

Location:San Diego

Home Page:https://www.chengyu-dong.me/

Twitter:@chengyu77

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Chengyu Dong's repositories

LipGrow

An adaptive training algorithm for residual network

Text2Scene-bib

A list of materials related to text2scene

RobustDataProfiling

Data Profiling for Adversarial Training: On the Ruin of Problematic Data

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SSKD

[ECCV2020] Knowledge Distillation Meets Self-Supervision

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adversarial_robustness_pytorch

Unofficial implementation of the DeepMind paper "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" in PyTorch

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blog

A Jekyll version of the "Prologue" theme by HTML5 UP

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confidence-aware-learning

Confidence-Aware Learning for Deep Neural Networks (ICML2020)

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DivideMix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

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FixMatch-pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

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FixMatch_pytorch

Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

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llama

Inference code for LLaMA models

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MAE

PyTorch implementation of Masked Autoencoder

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minqup

A mininal example of GPU job scheduler in pure shell script

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overhaul-distillation

Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

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pytorch-classification

Classification with PyTorch.

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PyTorch-Pretrained-ViT

Vision Transformer (ViT) in PyTorch

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Raft

Python implementation of Raft Consensus applied on cloud storage, following multi-thread event driven scheme

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SimCLR

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

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SimpleHttpServer

Http server in c++

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SimSeed

A simple yet effective method for seed word-based weakly supervised text classification

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starter-academic

🎓 Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify

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ups

"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)

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