Git Product home page Git Product logo

丛庆's Projects

2dpathrecognition icon 2dpathrecognition

本模型利用分区采样,卷积拟合的方法,对等拼接纸板的拼缝进行准确而高效的识别,并结合四叉树分解、色阶阈值、傅里叶变换、连通域函数等手段,确定出了识别路径的首尾坐标。

adaptformer icon adaptformer

[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"

attention-cnn icon attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

build-your-own-x icon build-your-own-x

Master programming by recreating your favorite technologies from scratch.

coanet icon coanet

CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery

convcrf icon convcrf

This repository contains the reference implementation for our proposed Convolutional CRFs.

deeplab-v1-pytorch icon deeplab-v1-pytorch

Code for ICLR 2015 deeplab-v1 paper "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs"

deeplab2 icon deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deit icon deit

Official DeiT repository

densecrf icon densecrf

a fork of the densecrf package implementing alternative inference scheme

densecrf-1 icon densecrf-1

C++/CUDA Dense Conditional Random Field using Meanfield inference

digital-image-processing icon digital-image-processing

There are some digital image processing algorithms, e.g. histogram equalization, FT/FFT, homomorphic filtering, etc. 一些自己实现的数字图像处理算法,如直方图均衡、 傅里叶变换/快速傅里叶变换、同态滤波等。

dino icon dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dino_colab icon dino_colab

修改后的dino训练的代码,交给colab训练

dinov2 icon dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

focalnet icon focalnet

[NeurIPS 2022] Official code for "Focal Modulation Networks"

fucking-algorithm icon fucking-algorithm

手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

hello-algorithm icon hello-algorithm

🙈🙉🙊 本项目包括:1、我写的三十万字图解算法题典 2、100 张 IT 相关超清思维导图 3、100 篇大厂面经汇总 4、各语言编程电子书 100 本 5、English version supported !!! 🚀🚀 国人项目上榜首不易,右上角助力一波!干就对了,奥利给 !🚀🚀

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.