muzahidai

create-a-hdf5-data-set-for-deep-learning

create your own data set with python library h5py and a simple example for image recognition

Install-Cuda-on-Ubuntu

Install CUDA and cudnn for Machine learning.

SnowflakeNet

(TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer

Zotero-IEEE_without_doi

Zotero_IEEE citation template without DOI andURL

3D-Point-Cloud-Completion-Benchmark

A list of 3D point cloud completion resources.

BCYSA-App

CQM-empty

diffusion-point-cloud

:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

DMRDenoise

:snowman: Differentiable Manifold Reconstruction for Point Cloud Denoising (ACM MM 2020)

labelImg

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

Medical-Healthcare-3D-Imaging-AI

:hospital: :eye_speech_bubble: Medical Healthcare AI | Robotic Surgery | Automated Brain Tumour Segmentation | Skin Cancer Lesion Detection & Segmentation (Melonama Recognition) | Lung Cancer detection (Chest CT Scan) | IMAGE SEGMENTATION TECHNIQUES

Multimodal-Shape-Completion

code for our ECCV 2020 spotlight paper "Multimodal Shape Completion via Conditional Generative Adversarial Networks"

Machine-Learning

muzahidai.github.io

NPYViewer

Load and view .npy files containing 2D and 1D NumPy arrays.

PCN-PyTorch

Implementation of PCN(Point Completion Network) in PyTorch.

pcn_official

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

pdflow

PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows (ECCV 2022)

physionetchallenges.github.io

PhysioNet/Computing in Cardiology Challenges

point-cloud-utils

A Python library for common tasks on 3D point clouds

Point-Cloud-Visualization

Point Cloud Visualization using Python

pointcleannet

PoinTr

[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

ReDB-DA-3Ddet

[ICCV 2023] Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling

shape-inversion

[CVPR 2021] Unsupervised 3D Shape Completion through GAN Inversion

visualize-point-clouds

Introduction to Point Cloud Processing

website

My personal homepage