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3d-machine-learning

A resource repository for 3D machine learning

adaptconv-master

Adaptive Graph Convolution for Point Cloud Analysis

advances-in-label-noise-learning

A curated (most recent) list of resources for Learning with Noisy Labels

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-longtailed-learning

A codebase and a curated list of awesome deep long-tailed learning.

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

cga-net

[CVPR 2021] CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation

closerlook3d

A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)

cloudcompare

CloudCompare main repository

cossl

Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 2022)

coursera-machine-learning-stanford

Machine learning-Stanford University

cpcm

This is the official repo for Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation (ICCV 23).

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

cts

Towards Classification of Architectural Styles of Traditional Settlements using DL: A Dataset, a New Framework, and Its Interpretability

curriculum-labeling

[AAAI 21] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

cvinw_readings

A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

d3feat

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

dars

(ICCV 2021 Oral) Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation.

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-on-point-clouds

A curated list of primary sources on applying deep learning on point cloud data.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-project-template

Pytorch Lightning code guideline for conferences

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-tf2

Deep learning model zoo with TensorFlow 2.X (& Keras)

deepvision3d

DeepVision3D is an open source toolbox for point-cloud understanding.

dgcnn

dgcnn.pytorch

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

dlpointcloudproject

recording and plan for Msc. point cloud project

dotfiles

My dotfiles. Mainly customisations for Vim and Bash.