147 Open source projects that are alternatives of or similar to radar-ml

A highly customizable radar view for Android

Open weather data for humans

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

A basic Python library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.

Self Driving Car Project 6 - Sensor Fusion(Extended Kalman Filter)

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，BEiT，MAE等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

🌊 Animate current U.S. NOAA NWS N0R Radar Images

🕹️ Example for the Lexogrine HUD Manager system

The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.

Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection, AAAI 2021.

Driver for the Continental radar ARS_404 / ARS_408.

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

NEXRAD Data Processing with Go

BASH post-processing script for Plex DVR, Shell, Sonarr, Radarr

An iOS app for submitting radars

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

EsViT: Efficient self-supervised Vision Transformers

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

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

Pytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.

A Fast Knowledge Distillation Framework for Visual Recognition

A curated list of awesome graph & self-supervised-learning-based recommendation.

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

Whitening for Self-Supervised Representation Learning | Official repository

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

A comprehensive list of awesome contrastive self-supervised learning papers.

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Albion Online Gathering And Player Radar

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

Official code for "Mean Shift for Self-Supervised Learning"

Apple's radar communication in Swift

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

block game military grade radar

Code to train the SimSiam model on cifar10 using PyTorch

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

Natural World Tasks

Python program to read and plot the data in real time from the AWR1642 and IWR1642 mmWave radar boards (Texas Instruments).

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar

List of Publications in Graph Contrastive Learning

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

Radar using Red Pitaya for RF: using Raspberry Pi 3 for quad-core radar signal processing

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Variants of Vision Transformer and its downstream tasks

Self-supervised Spatiotemporal Learning via Video Clip Order Prediction

FisheyeDistanceNet

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

A rain radar card using the new tiled images from the Australian BOM

Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.

A library for graph deep learning research

code for AAAI21 paper "Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion“