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curious-energy's Projects

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personal blog / https://curious-energy.github.io

attentionn icon attentionn

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

cpp_primer_practice icon cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。

deoldify icon deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

dslam_open icon dslam_open

Public code for "Data-Efficient Decentralized Visual SLAM"

gan-timeline icon gan-timeline

A timeline showing the development of Generative Adversarial Networks (GAN).

gaussian-splatting icon gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

graph-cut-ransac icon graph-cut-ransac

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

half-blog icon half-blog

基于hexo的博客,部署较为麻烦,换机重新布置

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

imips_open icon imips_open

Matching Features Without Descriptors: Implicitly Matched Interest Points

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

open_vins icon open_vins

An open source platform for visual-inertial navigation research.

openvslam icon openvslam

OpenVSLAM: A Versatile Visual SLAM Framework

pdfs icon pdfs

Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)

pixel-perfect-sfm icon pixel-perfect-sfm

Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Oral)

pyslam icon pyslam

pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.

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