2281 Open source projects that are alternatives of or similar to Pointcnn

Papers and Datasets about Point Cloud.

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

The Official Deep Learning Framework for Route-based Place Recognition

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

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

RMDL: Random Multimodel Deep Learning for Classification

Keras implementation for Pointnet

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

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

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

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Grid-GCN for Fast and Scalable Point Cloud Learning

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

A Thai word tokenization library using Deep Neural Network

BCDU-Net : Medical Image Segmentation

MATLAB sample codes for mobile robot navigation

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

All-in-one Toolbox for Computer Vision Research.

Unofficial PyTorch Reimplementation of RandAugment.

⏰ AI conference deadline countdowns

Semantic3D segmentation with Open3D and PointNet++

This is an open sourced book on deep learning.

Implementation of State-of-the-art Text Classification Models in Pytorch

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

food image to recipe with deep convolutional neural networks.

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

Image Test Time Augmentation with PyTorch!

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

A curated list of awesome links and software libraries that are useful for robots.

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

A curated list of resources focused on Machine Learning in Geospatial Data Science.

Keras tutorial for beginners (using TF backend)

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

deeplearning.ai , By Andrew Ng, All video link

Medical image preprocessing and augmentation toolkit for deep learning

Deep Learning for Time Series Classification

💃 Real-time single person pose estimation for Android and iOS.

Emotion recognition using DNN with tensorflow

Skin cancer classification using Inceptionv3

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.