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baidupcs-go

百度网盘客户端 - Go语言编写

brdnet

Image denoising using deep CNN with batch renormalization(Neural Networks,2020)

chinahadoop_c5

cs231n.github.io

Public facing notes page

data-sets-for-opencv-classifier-training

Image data sets

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

dlaicourse

Notebooks for learning deep learning

dncnn-keras

dncnn-tensorflow

:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

dvb-s2

Modelling DVB S2 transmission

dvb-s2-communication-chain

Design and simulation of a DVB-S2 communication chain

dvbs

simulation of dvbs communication channel

dvbs2

Implementation of the DVBS2 standard using Matlab

error-correction

CRC, Hamming & Reed Solomon

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

hello-world

learn how to use github

kair

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN

machine-learning

Andrew Ng's machine learning programming assignments on Coursera

models

Models and examples built with TensorFlow

object-detector

Object Detection Framework using HOG as descriptor and Linear SVM as classifier.

realtimefacerecognition

OpenCV Haarcascade and SVM for real time facial tracking and recognition using webcam

reedsolomonlistdecoding

Implementation of a series of list decoding algoritms

rs_matlab

Reed-Solomon over GF(2^m) implementation in MATLAB 2011a

satellite-communication-system-project

The project here contains the baseband simulation the satellite communication system with DVB-S standards.

sentiment_analysis

using LSTM model for sentiment analysis.

simulation_modulation

Matlab Simulation for DVB-S

swiftuicode

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。