CCcodecod

CCcodecod's Stars

• lyswhut/lx-music-desktop

  一个基于 electron 的音乐软件

  Language:TypeScript39.8k3661.8k5.9k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.1k2523.5k3.6k

• imarvinle/awesome-cs-books

  🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

  17.5k244162.5k

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8k332921k

• trigaten/Learn_Prompting

  Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community

  Language:MDX4.3k95395636

• Jack-Cherish/LeetCode

  :monkey:LeetCode、剑指Offer刷题笔记（C/C++、Python3实现）

  Language:C++2.6k594536

• dome272/Diffusion-Models-pytorch

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

  Language:Python1.1k1140259

• cszn/USRNet

  Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

  Language:Python8573931114

• bayesiains/nflows

  Normalizing flows in PyTorch

  Language:Python8342949119

• Arthurzhangsheng/CodeFormer_GUI

  CodeFormer人脸清晰化工具图形界面版，自带环境解压即用

  68091472

• timbmg/Sentence-VAE

  PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

  Language:Python5841027151

• timbmg/VAE-CVAE-MNIST

  Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

  Language:Python57785104

• HongyangGao/Graph-U-Nets

  Pytorch implementation of Graph U-Nets (ICML19)

  Language:Python5131126100

• ethanluoyc/pytorch-vae

  A Variational Autoencoder (VAE) implemented in PyTorch

  Language:Python40983107

• odlgroup/odl

  Operator Discretization Library https://odlgroup.github.io/odl/

  Language:Python36828936105

• sksq96/pytorch-vae

  A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

  Language:Jupyter Notebook2945764

• jianzhangcs/ISTA-Net-PyTorch

  ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)

  Language:Python2197936

• CSUcse/CSUthesis

  中南大学研究生学位论文LaTex模版（博士和硕士）

  Language:TeX14761337

• jianzhangcs/ISTA-Net

  ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (Tensorflow Code)

  Language:Python1283341

• starhou/One-dimensional-GAN

  用GAN生成一维数据

  Language:Jupyter Notebook12245

• adler-j/learned_primal_dual

  Learned Primal-Dual Reconstruction

  Language:Python9251336

• dongjxjx/dwdn

  Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring

  Language:Python41165

• cvxgrp/aa

  Anderson Acceleration

  Language:Jupyter Notebook1920210

• gouthamnaveen/CRPS

  A package to compute the Continuous Ranked Probability Score (crps) (Matheson and Winkler, 1976; Hersbach, 2000), the fair-crps (fcrps) (Ferro et al., 2008), and the adjusted-crps (acrps) (Ferro et al., 2008) given an ensemble prediction and an observation. The continuous ranked probability score is a negatively oriented score that is used to compare the empirical distribution of an ensemble prediction to a scalar observation. References: [1] Matheson, J. E. & Winkler, R. L. Scoring Rules for Continuous Probability Distributions. Management Science 22, 1087–1096 (1976). [2] Hersbach, H. Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems. Wea. Forecasting 15, 559–570 (2000). [3] Ferro, C. A. T., Richardson, D. S. & Weigel, A. P. On the effect of ensemble size on the discrete and continuous ranked probability scores. Meteorological Applications 15, 19–24 (2008).

  Language:Python16100

• akarshp28/EIT-EBM

  EIT-EBM

  Language:Jupyter Notebook12111

• cetmann/pytorch-primaldual

  A Pytorch implementation of Learned Primal-Dual Reconstruction (Adler & Öktem, 2017)

  Language:Jupyter Notebook12202

• ORNL/AADL

  Anderson Acceleration for Deep Learning

  Language:Python12426

• vienmai/AA-Prox

  Anderson acceleration of proximal gradient methods

  Language:Jupyter Notebook8202

• NablaIP/pydbar

  D-bar Method for EIT

  Language:Jupyter Notebook6212

• bjoernehlers/MA_LearnedOperatorCorrectionISTA

  Learned operator correction for the proximal gradient method of the Master thesis

  Language:Python1