CCcodecod's starred repositories
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).
lx-music-desktop
一个基于 electron 的音乐软件
pytorch_geometric
Graph Neural Network Library for PyTorch
Graph-U-Nets
Pytorch implementation of Graph U-Nets (ICML19)
CodeFormer_GUI
CodeFormer人脸清晰化工具图形界面版，自带环境解压即用
Learn_Prompting
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
Diffusion-Models-pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Sentence-VAE
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
pytorch-vae
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
pytorch-vae
A Variational Autoencoder (VAE) implemented in PyTorch
One-dimensional-GAN
用GAN生成一维数据
pytorch-primaldual
A Pytorch implementation of Learned Primal-Dual Reconstruction (Adler & Öktem, 2017)
ISTA-Net-PyTorch
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)
learned_primal_dual
Learned Primal-Dual Reconstruction
MA_LearnedOperatorCorrectionISTA
Learned operator correction for the proximal gradient method of the Master thesis
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