Yuchang Sun (hiyuchang)

hiyuchang

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Company:HKUST

Location:Hangzhou, China

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Yuchang Sun's starred repositories

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

open_clip

An open source implementation of CLIP.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:9049Issues:76Issues:448

awesome-knowledge-distillation

Awesome Knowledge Distillation

resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

Language:TeXLicense:MITStargazers:1696Issues:8Issues:6

dl-visuals

Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.

Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

Language:PythonLicense:MITStargazers:1254Issues:21Issues:155

robustness

Corruption and Perturbation Robustness (ICLR 2019)

Language:PythonLicense:Apache-2.0Stargazers:982Issues:14Issues:55

FixMatch-pytorch

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

Language:PythonLicense:MITStargazers:744Issues:9Issues:53

robustbench

RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]

Language:PythonLicense:NOASSERTIONStargazers:614Issues:9Issues:101

ChatGPT-Academic-Prompt

Use ChatGPT for academic writing

License:MITStargazers:421Issues:4Issues:0

offsite-tuning

Offsite-Tuning: Transfer Learning without Full Model

Language:PythonLicense:MITStargazers:362Issues:8Issues:10

CKA-Centered-Kernel-Alignment

Reproduce CKA: Similarity of Neural Network Representations Revisited

Language:PythonLicense:MITStargazers:263Issues:6Issues:5

artbench

Benchmarking Generative Models with Artworks

Language:PythonLicense:NOASSERTIONStargazers:216Issues:8Issues:6

self-adaptive-training

[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training

Language:PythonLicense:MITStargazers:126Issues:4Issues:11

awesome-early-exiting

A curated list of Early Exiting papers, benchmarks, and misc.

License:MITStargazers:86Issues:6Issues:0

image-classification-caltech-256

Exploring CNNs and model quantization on Caltech-256 dataset

Language:Jupyter NotebookStargazers:84Issues:5Issues:5

ElasticBERT

A pre-trained model with multi-exit transformer architecture.

Language:PythonStargazers:54Issues:3Issues:0

CKA.pytorch

A PyTorch implementation of Centered Kernel Alignment (CKA) with GPU acceleration.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:34Issues:1Issues:3

scale-fl

Code for ScaleFL

early-exit-papers

A curated list of early exiting

License:MITStargazers:23Issues:1Issues:0

c2a

Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)

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DistillationTraining

Distillation Knowledge for training Multi-exit Model

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fl-baseline

A PyTorch framework for federated learning. This is a very basic framework.

Language:PythonLicense:GPL-3.0Stargazers:4Issues:1Issues:0

Clip-Model-FineTune

In this repository, we fine-tune the Clip model step by step using the CIFAR10 and CRC datasets.

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