220 Open source projects that are alternatives of or similar to baai-federated-learning-crane-baseline

电力人工智能数据竞赛——安全帽未佩戴行为目标检测赛道基准模型

An AI Tool to Help Customers Monitor Social Distancing in the Workplace.

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module

A Caffe2 implementation of the YOLO v3 object detection algorithm

Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

Substra is a framework for traceable ML orchestration on decentralized sensitive data.

Federated Learning mini-framework with Keras

Implementation of YoloV3 and Caffe in OpenCvSharp

using yolox+deepsort for object-tracking

Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

An accident avoidance program that raises alert when nearby vehicles are moving at a relative speed faster than a threshold value, additionally it logs some data onto NEM-Mijin blockchain network

Federated posterior averaging implemented in JAX

https://towardsdatascience.com/tutorial-build-an-object-detection-system-using-yolo-9a930513643a

Object Detection using Yolo V3 and OpenCV

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

ffcnn is a cnn neural network inference framework, written in 600 lines C language.

automated social distancing monitoring system

FedGroup, A Clustered Federated Learning framework based on Tensorflow

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

ODAM - Object detection and Monitoring

Proof of Concept of a Federated Learning framework that maintains the privacy of the participants involved.

Convert JSON annotations into YOLO format.

Real-time face detection model using YOLOv3 with Keras

convert keras (tensorflow backend) yolov3 h5 model file to darknet yolov3 weights

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

The reimplementation of YOLO-V3 in TensorFlow.(comming soon)

annotation and specification for yolov3

Target detection and multi target tracking platform based on Yolo DeepSort and Flask.

Go bindings for Darknet (YOLO v4 / v3)

Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/

Modular tool that extracts images and labels from multiple datasets and parses them to Darknet format.

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

Framework to build your own reverse image search engine

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

CCFDF rebar detection

You can import this module directly

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

The repo for the FeTS Challenge

Localize 2D image object detection in 3D Scene with Yolo in Unity Barracuda and ARFoundation.

Deploy the pruned YOLOv3/v4/v4-tiny/v4-tiny-3l model on OpenVINO embedded devices

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

A simplification of Tensorflow Tensor Operations

Model-Contrastive Federated Learning (CVPR 2021)

Full stack service enabling decentralized machine learning on private data

Car Crash Accident Project

Deep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

Standard federated learning implementations in FedLab and FL benchmarks.

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Yolov3 on tensorflow2.0 and tensorrt7.0

Pytorch implementation of YOLOX、PPYOLO、PPYOLOv2、FCOS an so on.

Federated gradient boosted decision tree learning

A scalable, high-performance serving system for federated learning models

Maintaining empty parking spot count using YOLO real-time vehicle detection. Code readily runnable in google colab.