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3d-point-cloud-analytics

Portfolio for 3D Point Cloud Processing from www.shenlanxueyuan.com China

3d-pointcloud

Papers and Datasets about Point Cloud.

3d-registration-with-maximal-cliques

Source code of CVPR 2023 paper

3dfeatnet

3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration

3dsmoothnet

[CVPR2019] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

awesome-edge-detection-papers

:books: A collection of edge/contour/boundary detection papers and toolbox.

awesome-point-cloud-analysis-2022

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

bayesian-sparse-deep-learning

Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)

build-your-own-x

🤓 Build your own (insert technology here)

computer-vision-in-action

学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

cplusplus

some exercises about Cpp

cv

✔️最全面的 深度学习CV 笔记【吴恩达 深度学习】【李沐 动手学深度学习】【我是土堆 Pytorch】

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

d3feat

[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

d3feat.pytorch

[PyTorch] Official Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164

dcp

deepl-python

Python library for the DeepL language translation API.

deeplearning.ai-andrewng

deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link

dgcnn

drcom-gdut-hc5661a-openwrt

在Dr.COM下使用路由器上校园网WIFI(以广东工业大学、极路由1S HC5661A、OpenWrt为例)

duilib

gnnpapers

Must-read papers on graph neural networks (GNN)

graphembedding

Implementation and experiments of graph embedding algorithms.

graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphsage-simple

Simple reference implementation of GraphSAGE.

hello-world

share with others about TensorFlow

hevc-complexity-reduction

Source programs to test the deep-learning-based complexity reduction approach for HEVC, at both intra- and inter-modes.

hevc-cu-depths-dataset

A dataset that contains the Coding Unit image files and their corresponding depths for HEVC intra-prediction.

hevc-cu-depths-prediction-cnn

Using convolutional neural networks to predict the Coding Units (CUs) depths in HEVC intra-prediction mode, in order to reduce the time of the encoding process in HEVC.

hevc-deep-learning-pipeline

Integrating neural network models in HEVC encoder, to test the complexity reduction using deep learning in HEVC intra-prediction.