Gongfan Fang's repositories
Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
DeepLabV3Plus-Pytorch
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
Awesome-Anything
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
pytorch-msssim
Fast and differentiable MS-SSIM and SSIM for pytorch.
Awesome-Contrastive-Learning
Awesome Contrastive Learning for CV & NLP
Diff-Pruning
[NeurIPS 2023] Structural Pruning for Diffusion Models
Data-Free-Adversarial-Distillation
Code and pretrained models for paper: Data-Free Adversarial Distillation
nyuv2-python-toolkit
nyuv2 toolbox for data extraction and loading.
CommonFeatureLearning
(IJCAI 2019) Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning
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)。
Awesome-Pruning
A curated list of neural network pruning resources.
github-readme-stats
:zap: Dynamically generated stats for your github readmes
horseee.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
mmdetection
OpenMMLab Detection Toolbox and Benchmark
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)
pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods