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cs231learnresult

计算机视觉的数学基础，主要了解机器学习的数学原理

cst

Co-simulation of Matlab and CST

current

The current version of DDSCAT. Discrete Dipole Scattering (DDSCAT) code for calculating scattering and absorption of light by irregular particles and periodic arrangement of irregular particles.

cv

机器视觉学习

cv-papers

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...

cv_reco

opencv-python编写,大量计算机视觉和机器学习的python程序

cython-doc-zh

Cython 3.0 中文文档

d3-reconstruction

In-Line Holographic Reconstruction in Python

darknet

Convolutional Neural Networks

dart-ray

DART-Ray - 3D ray-tracing dust radiative transfer code

data-analysis

用 jupyter notebook做的一些机器学习项目

data-driven-discretization-1d

Code for "Learning data-driven discretizations for partial differential equations"

datascience_dsd

Data Science approach to rain drop size distribution

dblp.yaml

DBLP in citeproc-yaml format

dda

A discrete dipole approximation (DDA) implementation for the GPU

dda-1

My dda code for master

dda-si

Automatically exported from code.google.com/p/dda-si

dda.jl

Discrete Dipole Approximation

ddaparallelsubmission

Code for submitting parallel Discrete Dipole Approximation calculations to a remote computer.

ddscat

Automatically exported from code.google.com/p/ddscat

ddscat-tools

Tools for DDSCAT

ddscatcpp

Automatically exported from code.google.com/p/ddscatcpp

debye_series

Light scattering code of a homogeneous sphere by means of the Debye series

deep-hidden-physics-models-and-pinns

HPM for Aquostic wave equation

deep-learning-for-indentation

Extraction of mechanical properties of materials through deep learning from instrumented indentation

deep-learning-for-metasurface-optimization

Deep Learning (non-linear regression) for metasurface parameter optimization using tensorflow/keras

deep-learning-framework-for-inverse-scattering-problems

Physics Assisted Deep Learning to solve Inverse Scattering problems

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-reinforcement-learning-for-5g-networks

Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.

deep-unfolding-beamforming-for-intelligent-reflecting-surface-assisted-full-duplex-systems