zhaoyang (vxgu86)

vxgu86

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zhaoyang's repositories

aclswarm

MIT ACL formation flying using multirotors

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AlexNet_TensorFlow2.0-2.2

I am pleased to update the AlexNet and its variants to adapt to TensorFlow 2.0/2.1/2.2. Since the original script of myalexnet_forward written by the AlexNet team was build on TensorFlow 1.x in 2017, it has generated many errors during the runtime in the env. of TensorFlow 2.x. Either the AlexNet team has no time to update, or it is very hard for developers to find out the AlexNet variants to adapt to TensorFlow 2.0/2.1/2.2 with the Google search. Furthermore, I split the AlexNet model in both the OOP and the pure command style and make client applications to call the AlexNet model because the AlexNet model is not separated in most of the published scenarios which incur the difficulties for developer's deep learning. Considering that AlexNet is the greatest milestone in the CNNN/DNN history (Mr. Hinton has just won the Turing Award in 2019 and the event is not far from fading away), it is important to continue its usability and accessibility to all developers. It is exciting for me to take the opportunity to share the new update.

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camera-capture

GUI tool for collecting & labeling data from live camera feed

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computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

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Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

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deepstream_360_d_smart_parking_application

Describes the full end to end smart parking application that is available with DeepStream 4.0

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distance-assistant

Pedestrian monitor that provides visual feedback to help ensure proper social distancing guidelines are being observed

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MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"

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ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

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nasbench

NASBench: A Neural Architecture Search Dataset and Benchmark

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nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

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nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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PaddleDetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

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PipeCNN

An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

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pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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RAPPIDS

Rectangular Pyramid Partitioning using Integrated Depth Sensors (RAPPIDS): A Fast Planner for Multicopter Navigation

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ReID_tutorial_slides

《深度学习与行人重识别》课程课件

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rov-master

ROV水下航行器(基于 NanoPi NEO Core)

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rovmaster-hardware

ROV电路硬件相关

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SSD-Tensorflow

Single Shot MultiBox Detector in TensorFlow

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Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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swarmlib

This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)

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underwater-object-detection

Kesci underwater object detection algorithm contest

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Underwater_detection

2020年全国水下机器人(湛江)大赛

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VIO

Interface PX4 with Realsense T265

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zoom-camera-controller

ROVMaster 变焦镜头控制程序

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