Gongfan Fang (VainF)

VainF

Geek Repo

Company:National University of Singapore

Location:Singapore

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

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Gongfan Fang's repositories

Torch-Pruning

[CVPR 2023] DepGraph: Towards Any Structural Pruning

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DeepLabV3Plus-Pytorch

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

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Awesome-Anything

General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX

pytorch-msssim

Fast and differentiable MS-SSIM and SSIM for pytorch.

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Awesome-Contrastive-Learning

Awesome Contrastive Learning for CV & NLP

Diff-Pruning

[NeurIPS 2023] Structural Pruning for Diffusion Models

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Data-Free-Adversarial-Distillation

Code and pretrained models for paper: Data-Free Adversarial Distillation

Isomorphic-Pruning

[ECCV 2024] Isomorphic Pruning for Vision Models

nyuv2-python-toolkit

nyuv2 toolbox for data extraction and loading.

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CommonFeatureLearning

(IJCAI 2019) Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning

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Pytorch-Synchronized-BatchNorm

Synchronized batchnorm for pytorch

Neural-Style-Transfer-Gatys

A Tensorflow implementation of Neural Style Transfer

Awesome-Knowledge-Distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

Chess

Three.js game

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dcgan

Tensorflow implementation of dcgan

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Awesome-Pruning

A curated list of neural network pruning resources.

github-readme-stats

:zap: Dynamically generated stats for your github readmes

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horseee.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

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pytorch-lightning

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

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releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

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RepDistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

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