Xin Ding

improved_CcGAN. Continuous Conditional Generative Adversarial Networks (CcGAN)

CCDM. The official implementation of CCDM and iCCDM.

cGAN-KD. A unified cGAN-based knowledge distillation method

SOAP-KD. Regression-Oriented Knowledge Distillation for Lightweight Ship Orientation Angle Prediction with Optical Remote Sensing Images

A-Survey-on-Generative-Diffusion-Model.

CellCount_TinyBBBC005. Cell counting on the Tiny-BBBC005 datasets

ScoreDiffusionModel. The Pytorch Tutorial of Score-based and Diffusion Model

Dual-NDA. Codes for Dual-NDA

cDR-RS. Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable

DDRE_Sampling_GANs. Codes for the experiments in "Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss"

dive-into-cv-pytorch. 动手学CV-Pytorch版

vision_transformer. Jupyter Notebook

Awesome-Super-Resolution. Collect super-resolution related papers, data, repositories

awesome-sar-deep-learning. A list of resources to get you started with Deep Learning based despeckling of Synthetic Aperture Radar(SAR) images

PyTorch-StudioGAN. StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

examples. Deep Learning Examples

UAE-RS. [IEEE TGRS 2022] Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark

Cold-Diffusion-Models. Official implementation of Cold-Diffusion for different transformations in pytorch.

DenoisingDiffusionProbabilityModel-ddpm-. This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

Diffusion-GAN. Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion

awesome-imbalanced-learning. Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

satellite-image-deep-learning. Deep learning with satellite & aerial imagery

pytorch-OpCounter. Count the MACs / FLOPs of your PyTorch model.

guided-diffusion. Python

awesome-image-translation. A collection of awesome resources image-to-image translation.

vit-pytorch. Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

pytorch_geometric. Geometric Deep Learning Extension Library for PyTorch

OpenCV-Python-Tutorials-and-Projects. An easy to follow course of OpenCV using Python for beginners.

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

mae. PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

gan-compression. [CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

awesome-semantic-segmentation. :metal: awesome-semantic-segmentation

awesome-hand-pose-estimation. Awesome work on hand pose estimation/tracking

dataset. 医学影像数据集列表

sPCA-rSVD_simulation. R

PFLD_68points_Pytorch. Implementation of PFLD For 68 Facial Landmarks By Pytorch

awesome-gan-inversion. A collection of resources on GAN inversion.

machine-learning-notes. My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

GNNPapers. Must-read papers on graph neural networks (GNN)

Awesome-Vision-Attentions. Summary of related papers on visual attention

awesome-normalizing-flows. A list of awesome resources on normalizing flows.

facial-landmark-dataset. A collection of facial landmark datasets and Python code to make use of them.

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

CcGAN-AVAR. Code repository for Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinity and Auxiliary Regularization