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andrew-ng-deep-learning-notes

吴恩达《深度学习》系列课程笔记及代码

andrewngmachinelearning

awesome-list-of-awesomes

A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.

awesome-mobile-machine-learning

A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.

ca-lbfl

Context-Aware Local Binary Feature Learning for Face Recognition

cbdnet

Code for "Toward Convolutional Blind Denoising of Real Photographs", CVPR 2019

cnnimageretrieval

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

composition-learning

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deep-learning

Resources of deep learning courses by Andrew Ng

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-coursera-1

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

deep-learning-coursera-complete

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

deep-learning-specialization-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-photo-enhancer

TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

deep-retrieval

🌁 Image retrieval using deep learning of global descriptors.

deephash

An Open-Source Package for Deep Learning to Hash (DeepHash)

delf-pytorch

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

dfm_new

diffusion-retrieval

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

dncnn-pytorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

dncnn-tensorflow

A tensorflow implementation for RGB images of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

dynamic-match-kernel-for-image-retrieval

The key implementation of our TIP paper: Dynamic Match Kernel with Deep Convolutional Features for Image Retrieval

edges

Structured Edge Detection Toolbox

efficientdnns

Collection of recent methods on (deep) neural network compression and acceleration.

event-based_vision_resources

exposure_correction

Implements the exposure correction algorithms presented in Yuan et al's "Automatic Exposure Correction of Consumer Photographs".

face-hallucination-benchmark

A collection of state-of-the-art face hallucination methods

face-mask-detection

Face Mask Detection using NVIDIA Transfer Learning Toolkit (TLT) and DeepStream for COVID-19

faceattr

CVPR2018 Face Super-resolution with supplementary Attributes