Serenade-ajp

Serenade-ajp

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3D-Machine-Learning

A resource repository for 3D machine learning

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ASIS

Associatively Segmenting Instances and Semantics in Point Clouds

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awesome-point-cloud-analysis

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

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awesome-point-cloud-learning

A curated list of papers & resources linked to deep learning on point clouds.

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BaiduPCS

百度网盘命令行工具。The terminal utility for Baidu Network Disk.

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caffe

Caffe: a fast open framework for deep learning.

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caffe-model

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

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CenterTrack

Simultaneous object detection and tracking using center points.

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DCGAN-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

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deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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frcnn

Faster R-CNN / R-FCN, C++ version based on Caffe

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free-programming-books

:books: Freely available programming books

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Graph-CNN-in-3D-Point-Cloud-Classification

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

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KITTI-Dataset

Examination of the KITTI dataset.

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MaskRCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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ML-Tutorial-Experiment

Coding the Machine Learning Tutorial for Learning to Learn

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models

Models built with TensorFlow

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mtcnn-caffe

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

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pcl-1

Point Cloud Library (PCL)

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pointnet-autoencoder

Autoencoder for Point Clouds

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pointnetvlad

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

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PU-Net

PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)

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SGPN

SGPN:Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation, CVPR, 2018

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Simple-test

this is a self test on github!

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SO-Net

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

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splatnet

SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)

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tensorflow

Computation using data flow graphs for scalable machine learning

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