YI-LIN SUNG (ylsung)

ylsung

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Company:UNC Chapel Hill

Location:NC

Home Page:https://ylsung.github.io/

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YI-LIN SUNG's repositories

pytorch-adversarial-training

PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

Ladder-Side-Tuning

PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"

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VL_adapter

PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)

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gnn_few_shot_cifar100

This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)

vl-merging

PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"

TetrisBattle

Reproduced the popular Facebook game -- Tetris Battle! Also provided openAI environments.

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lightning-semi-supervised-learning

Implementation of semi-supervised learning using PyTorch Lightning

ECoFLaP

Code for "ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models" (ICLR 2024)

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FedMA

Code for Federated Learning with Matched Averaging, ICLR 2020.

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TetrisBattle-RL

Training RL agent to master Facebook TetrisBattle--PyTorch implementation

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3d_invariance

(CVPR'20 Oral) Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

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backpack

BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

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continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

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DALLE-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

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datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

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FixMatch-pytorch

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

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knowledge-distillation-pytorch

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

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language-evaluation

:clipboard: Collection of evaluation code for natural language generation.

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Overcoming-Catastrophic-forgetting-in-Neural-Networks

Elastic weight consolidation technique for incremental learning.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-cifar

95.47% on CIFAR10 with PyTorch

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pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

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sg2im

Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

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ylsung.github.io

https://ylsung.github.io/

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