511 Open source projects that are alternatives of or similar to efficient_online_learning

ML algorithm for real-time classification

Motion Planner for Self Driving Cars

Semantic3D segmentation with Open3D and PointNet++

Receipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.

Stream openni2 depth images over the network

A tentacle-based pathfinding library for nonholonomic robotic vehicles

SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.

Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds

An implementation of AVP-SLAM and some new contributions

Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

ML-powered Loan-Marketer Customer Filtering Engine

[WACV2022] ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

Caffe implementation for "Guided Optical Flow Learning"

Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration

使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。

TensorFlow implementation for "Guided Optical Flow Learning"

No description or website provided.

A lightweight tool for labeling 3D bounding boxes in point clouds.

A document covering machine learning basics. 🤖📊

Misc Statistics and Machine Learning codes in R

ROS 2 wrapper beta for the ZED SDK

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

An SDK to interface with Wekinator over OSC

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

ML Dataset Governance Policy for Autonomous Vehicle Datasets

register 3D point clouds using rotation, translation, and scale transformations.

The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion (CVPR 2021)

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

A random forest

Machine Learning library written in Python and NumPy.

No description or website provided.

DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

Federated Principal Component Analysis Revisited!

Create 3D labelled bounding boxes in RViz

Experiments on unsupervised point cloud reconstruction.

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

Heart Disease prediction using 5 algorithms

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

Improved Deep Point Cloud Geometry Compression

Random Forests for Density Estimation in Python

Autonomous RC Car using Neural Networks, Python and Open CV

No description or website provided.

Julia bindings for the displaz lidar viewer

Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking…

Gym environments and agents for autonomous driving.

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)

My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

Linked Dynamic Graph CNN: Learning through Point Cloud by Linking Hierarchical Features