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Source code of 'VisRec: A Semi-Supervised Approach to Radio Interferometric Data Reconstruction', AAAI'25 accepted. By Ruoqi Wang, Haitao Wang, Qiong Luo, Feng Wang, Hejun Wu
Source code of 'PolarRec: Improving Radio Interferometric Data Reconstruction Using Polar Coordinates', CVPR'24 accepted. By Ruoqi Wang, Zhuoyang Chen, Jiayi Zhu, Qiong Luo, Feng Wang
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".
[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…
Classifies galaxy morphology with Bayesian CNN
ML-friendly datasets of galaxy images and labels
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
计算机组成原理实验，内有mips程序设计、单周期cpu仿真实验、多周期cpu仿真实验
source code for paper 'A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction'
Imaging radio interferometric data with Neural Networks.
Three implementations of FFT on any arbitrary length of input using Cuda, Openmp and MPI.
A collection of resources and papers on Diffusion Models
This repository is the official implementation of DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras.
Knowledge graph of covid19, using wikidata and neo4j
Transformer implemented with graph attention network (GAT) layers from PyTorch Geometric
A course project of a d3 scatter plot which plots the visualisation of how the life expectancy of the world increased with increase in GDP per capita.
wang-rq / MAE-pytorch-1
Forked from FlyEgle/MAE-pytorchMasked Autoencoders Are Scalable Vision Learners
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.