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3d_navigation

Global and local path planner plugins for ROS move_base which move the robot in 2D (x,y,angle) but avoid collisions using full 3D data (robot meshes and environment octomap).

caffe_unsupervised_depth_estimation

the Unsupervised_Depth_Estimation combine into caffe

cnn_face_detection

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

codegpu

video stream en/decode demo

continuouscrf-cnn

Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation in CVPR 2017 (Spotlight)

crfasrnn_keras

CRF-RNN Keras/Tensorflow version

daily-stock-forecast

Daily Stock Forecasts using Machine Learning & Python

deepblue_lesson1

deepblue_lesson2

densedepth

High Quality Monocular Depth Estimation via Transfer Learning

fanqiang

翻墙-科学上网

fast-rcnn

Fast R-CNN

faster_rcnn

Faster R-CNN

featuretools

An open source python framework for automated feature engineering

featuretools4s

Run FeatureTools to automate Feature Engineering distributionally on Spark.

fmg

KDD17_FMG

forknet

[ICCV'19] ForkNet: Adversarial Semantic Scene Completion from a Single Depth Image

gmm_py

the implement for GMM by python

google-glog

Automatically exported from code.google.com/p/google-glog

griffin

Model driven data quality service

hy-voice-project

wakeup project

incubator-griffin

Mirror of Apache griffin (Incubating)

kcf_dsst_particle_tracker

local-planning-benchmark

A unified benchmark for the evaluation of mobile robot local planning approaches (ICRA 2021)

monocular-depth-estimation

Replicated results from DenseDepth using DenseNet169 in Python.

motion-planning-course

Motion Planning for Mobile Robots Course

msetracker

nddr-cnn-pytorch

PyTorch Implementation of "NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction"

nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

nyudepthnet

A Tensorflow interface for the paper: Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture (***Deprecated***)