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

Implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion" (Xie et al., ECCV 2020).

PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

Software developer resume in Latex

和Python相关的学习笔记：机器学习、算法、进阶书籍、文档，博客地址：https://www.howie6879.cn

南京大学学位论文(本科/硕士/博士)，毕业论文LaTeX模板

周志华-机器学习

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

A PyTorch Library for Accelerating 3D Deep Learning Research

cuda编程学习资料

机器学习、深度学习一些个人认为不错的书籍。

南京大学学位论文XeLaTeX模板

Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)

A learned sampling approach for point clouds (CVPR 2019)

Deep Learning Book Chinese Translation

A curated list of awesome computer vision resources

个人中文简历 Latex 源码 https://hijiangtao.github.io/

PyTorch reimplementation of PPF-FoldNet

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

PyTorch implementation of Pointnet2/Pointnet++

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