Gongfan Fang's Projects
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
Awesome Contrastive Learning for CV & NLP
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
A curated list of neural network pruning resources.
Three.js game
(IJCAI 2019) Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning
Code and pretrained models for paper: Data-Free Adversarial Distillation
Tensorflow implementation of dcgan
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
[NeurIPS 2023] Structural Pruning for Diffusion Models
:zap: Dynamically generated stats for your github readmes
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
[ECCV 2024] Isomorphic Pruning for Vision Models
OpenMMLab Detection Toolbox and Benchmark
A Tensorflow implementation of Neural Style Transfer
nyuv2 toolbox for data extraction and loading.
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)
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
Fast and differentiable MS-SSIM and SSIM for pytorch.
Synchronized batchnorm for pytorch
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs