xxccb Goto Github PK

retina-unet-1

Retina blood vessel segmentation with a convolutional neural network

satellite-segmentation

scale-sets-image-analysis-toolkit

Scale-Sets Toolkit for Segmentation of Remote Sensing Images

sdn-simulation

Reproduce the Simulation for Software Defined Network(SDN) based on Omnetpp-5.4.1 and Reinforcement Learning Algorithm in paper "QoS-Aware Adaptive Routing in Multi-layer Hierarchical Software Defined Networks: A Reinforcement Learning Approach"

signalprocessing

simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition（TridentNet）

slic__superpixelsegmentation

超像素Superpixel分割，SLIC超像素分割官方Demo在windows下mex有error，这是对该算法的修正版本。

slim_cnn_test

Use tensorflow.contrib.slim to training a simple CNN classification model

spade

Semantic Image Synthesis with SPADE

spyder

Official repository for Spyder - The Scientific PYthon Development EnviRonment

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-cnn-tutorial

tensorflow-cookbook

Simple Tensorflow Cookbook for easy-to-use

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

texture

As open as LaTeX and as simple as a classic word processor.

tfsegmentation

RTSeg: Real-time Semantic Segmentation Comparative Study

torchseg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

tqdm

A fast, extensible progress bar for Python and CLI

transformers

NLP预训练模型库🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

ucnl.github.io

Underwater Communication & Navigation Laboratory documentation site

understanding-the-modeling-of-network-delays-using-nn

Recent trends in networking are proposing the use of Machine Learning (ML) techniques for the control and operation of the network. In this context, ML can be used as a computer network modeling technique to build models that estimate the network performance. Indeed, network modeling is a central technique to many networking functions, for instance in the field of optimization, in which the model is used to search a configuration that satisfies the target policy. In this paper, we aim to provide an answer to the following question: Can neural networks accurately model the delay of a computer network as a function of the input traffic? For this, we assume the network as a black-box that has as input a traffic matrix and as output delays. Then we train different neural networks models and evaluate its accuracy under different fundamental network characteristics: topology, size, traffic intensity and routing. With this, we aim to have a better understanding of computer network modeling with neural nets and ultimately provide practical guidelines on how such models need to be trained.

underwater

~2kb - ES6 Collection of helper functions. Lodash like

underwater-acoustic-communication-system

历时将近一年的srp项目：水声通信系统，硬件包括潜水器框架、迷你PC和STM32主控板等，软件包括RTX 、CAN、Socket等，现整理并复习项目知识

underwater-acoustics-and-sonar-signal-processing

underwater-broadband-communication

Design and Implement an acoustic system for underwater communication

underwater-localization

UKF based localization using IMU, DVL and depth sensor for underwater robot

underwater-obstacle-avoidance

The underwater robot obstacle avoidance project with the method of deep reinforcement learning

underwaterchannelmodeling

Underwater channels are modeled and equalizers are designed to preserve the message bits from distortion. LMS, Levinsondurbin, Neural Network are used to model.

unet

unet for image segmentation