suldier

suldier's Stars

• svc-develop-team/so-vits-svc

  SoftVC VITS Singing Voice Conversion

  Language:Python25.5k1771304.8k

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  17.9k2902022.6k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.8k26847934

• microsoft/DeepSpeedExamples

  Example models using DeepSpeed

  Language:Python6k745341k

• cvxpy/cvxpy

  A Python-embedded modeling language for convex optimization problems.

  Language:C++5.3k1231.5k1.1k

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.2k55701.2k

• open-mmlab/Amphion

  Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.

  Language:Python4.5k58152384

• igul222/improved_wgan_training

  Code for reproducing experiments in "Improved Training of Wasserstein GANs"

  Language:Python2.4k8092669

• zoubohao/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.

  Language:Python1.5k443159

• lucidrains/naturalspeech2-pytorch

  Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch

  Language:Python1.3k533199

• dome272/Diffusion-Models-pytorch

  Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

  Language:Python1.1k1140260

• sungyongs/graph-based-nn

  Graph Convolutional Networks (GCNs)

  906540173

• Tiiiger/SGC

  official implementation for the paper "Simplifying Graph Convolutional Networks"

  Language:Python8301829146

• abarankab/DDPM

  PyTorch DDPM implementation

  Language:Python636416105

• piiswrong/dec

  Language:Jupyter Notebook4551828138

• danfenghong/IEEE_TGRS_GCN

  Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.

  Language:Python23771368

• VSainteuf/pastis-benchmark

  Language:Jupyter Notebook19062238

• GRAND-Lab/ARGA

  This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

  Language:Python18471660

• AmberHen/WHU-OPT-SAR-dataset

  Open source dataset; multimodal fusion；remote sensing；optical images; SAR images；deep learning

  1412186

• Deepayan137/DeepClustering

  A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.

  Language:Python1272123

• danfenghong/ISPRS_S2FL

  Danfeng Hong, JIngliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model, ISPRS JP&RS, 2021.

  Language:MATLAB992111

• haidog-yaqub/DiffPitcher

  Diffusion-based singing voice pitch correction

  Language:Python878514

• HaebinShin/dec-tensorflow

  Tensorflow implementation of "Unsupervised Deep Embedding for Clustering Analysis"

  Language:Python573322

• chenning0115/SpectralDiff

  Language:Python50283

• shuguang-52/2019-RemoteSens-AUSSC

  Alternately Updated Convolutional Spectral-Spatial Network for Hyperspectral Image Classification(Remote Sensing 2019)

  Language:Python401313

• Hermina/GOT

  Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"

  Language:Jupyter Notebook38314

• Cimy-wang/AM3Net_Multimodal_Data_Fusion

  Code for J. Wang, J. Li, Y. Shi, J. Lai and X. Tan, "AM3Net: Adaptive Mutual-learning-based Multimodal Data Fusion Network," in IEEE TCSVT, 2022. We conducted the experiments on the hyperspectral and lidar dataset(Houston and Trento) and multispectral and synthetic aperture radar data (grss-dfc-2007 datasets).

  Language:Python33223

• ccwang-nwpu/Hyperspectral-Image-Classification-Using-GCN

  code for paper “Towards Effective Hyperspectral Image Classification Using Dual-level Deep Spatial Manifold Representation” （TGRS2021）

  Language:Python92

• AngryCai/TMPCC

  Language:Python8100

• Li0nMo0se/spectral_unmixing

  Spectral unmixing of hyperspectral images

  Language:Jupyter Notebook2101