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3dnetworkspytorch

Implementation of Popular Deep Learning Network using pytorch

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

augmentor

Image augmentation library in Python for machine learning.

awsome_deep_geometry_learning

A list of resources about deep learning solutions on 3D shape processing

circle-loss

Circleloss pytorch version

computetechsketchui

deepgrabcut-pytorch

Deep GrabCut in PyTorch

deformingthings4d

densepoint

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

dis-pu

Point Cloud Upsampling via Disentangled Refinement, CVPR, 2021

effectivetensorflow

TensorFlow tutorials and best practices.

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

gradio

Create UIs for your machine learning model in Python in 3 minutes

imgaug

Image augmentation for machine learning experiments.

learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

liruihui.github.io

personal website

logan

LOGAN: Unpaired Shape Transform in Latent Overcomplete Space

mesh_to_sdf

Calculate signed distance fields for arbitrary meshes

mitsuba-visualize

Visualizes meshes, pointclouds and video flythroughs in publication quality

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

neural-template

Neural Template: Topology- aware Reconstruction and Disentangled Generation of 3D Meshes (CVPR 2022)

paper-tips-and-tricks

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

pcn

Code for PCN: Point Completion Network in 3DV'18 (Oral)

pdgn

Progressive Point Cloud Deconvolution Generation Network (PDGN)

pointasnl

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

pointaugment

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

pointflow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet-pytorch

PointNet in PyTorch with comprehensive experiments

polyscope

A C++ & Python viewer for 3D data like meshes and point clouds