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rotorliu's Projects

pm2 icon pm2

Modern CLI process manager for Node apps with a builtin load-balancer

pointcloud icon pointcloud

A PostgreSQL extension for storing point cloud (LIDAR) data.

pointtrack icon pointtrack

PointTrack (ECCV2020 ORAL): Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

polyaxon icon polyaxon

A platform for reproducible and scalable machine learning and deep learning on kubernetes

pop icon pop

An extensible iOS and OS X animation library, useful for physics-based interactions.

probreg icon probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg)

proj.4 icon proj.4

PROJ.4 - Cartographic Projections Library

prometheus icon prometheus

The Prometheus monitoring system and time series database.

protobuf icon protobuf

Protocol Buffers - Google's data interchange format

psanet icon psanet

PSANet: Point-wise Spatial Attention Network for Scene Parsing, ECCV2018.

psmnet icon psmnet

Pyramid Stereo Matching Network (CVPR2018)

ptvs icon ptvs

Python Tools for Visual Studio

pulsewaves icon pulsewaves

an open, vendor-neutral, stand-alone, LAS-compatible full waveform LiDAR standard

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

py-lmdb icon py-lmdb

Universal Python binding for the LMDB 'Lightning' Database

pybind11 icon pybind11

Seamless operability between C++11 and Python

pycls icon pycls

Codebase for Image Classification Research, written in PyTorch.

pykitti icon pykitti

Python tools for working with KITTI data.

pyspatialite-working icon pyspatialite-working

Fixes for https://code.google.com/p/pyspatialite/ which appears to be inactive since at least Feb 2013.

python icon python

All Algorithms implemented in Python

python-pcl icon python-pcl

Python bindings to the pointcloud library (pcl)

pytorch-on-angel icon pytorch-on-angel

PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.

pytorch-slimming icon pytorch-slimming

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

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