collector-m Goto Github PK

3d_object_detection

deep learning detect 3D object

3d_object_detection_evaluation_metrics

evaluate 3D_object_detection, based on kitti datasets

3d_object_matching_rl

Trial 3D object matching for AR by reinforcement learning

3d_point_organization

3D LiDAR Point Cloud Organized as Depth Map, Height Map and Surface Normal Map

4d-pls

4D Panoptic Lidar Segmentation

60_days_rl_challenge

Learn Deep Reinforcement Learning in Depth in 60 days

99lidars

Distributed software to detect vehicular objects from LIDAR data in real time. Master Thesis project.

a-loam

Advanced implementation of LOAM

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

a3c

Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.

a3c-1

Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.

a3c-mujoco

a3c-pytorch

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

a3c_keras_flappybird

Use Asynchronous advantage actor-critic algorithm (A3C) to play Flappy Bird using Keras

a3c_tensorflow

Tensorflow implementation of 'Asynchronous Methods for Deep Reinforcement Learning'

a3c_torcs

a3c for torcs game

ab3dmot

Official python implementation for "A Baseline for 3D Multi-Object Tracking"

acado

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

acer

Actor-critic with experience replay

active_object_localization_rl

Using Reinforcement learning for object detection & localization CPTS_580 Project

adaboost_tracking

Adaboost Object Tracking based on Decision Stump

adabound

An optimizer that trains as fast as Adam and as good as SGD.

adapnet-pp

TensorFlow model for training AdapNet++ for semantic segmentation

adaptive_clustering

A lightweight and accurate point cloud clustering method

adelaidepth

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

advanced-lane-lines-detection-for-self-driving-car

advanced_lane_detection

Advanced lane detection using computer vision

advancedlinedetection

advancedobjectdetection