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deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplabv3plus-pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

deye

Keep an Eye on Defects Inspection.

dfnet

Keras implementation of "DFNet: Discriminative feature extraction and integration network for salient object detection"

eda

Exploratory Data Analysis

flownetpytorch

Pytorch implementation of FlowNet by Dosovitskiy et al.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

generalization-causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-neural-network-review

graphsage-simple

Simple reference implementation of GraphSAGE.

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

kbqa-for-diagnosis

Knowledge Graph,Question Answering System，基于知识图谱和向量检索的医疗诊断问答系统

keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

keras_to_tensorflow

General code to convert a trained keras model into an inference tensorflow model

lfsod-survey

machine-learning_zhouzhihua

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

matnet

Motion-Attentive Transition for Zero-Shot Video Object Segmentation (AAAI2020)

mitk

The Medical Imaging Interaction Toolkit.

mobilenet_v2_keras

models

Models and examples built with TensorFlow

mygithub

myhomepage

nndl.github.io

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

opencv-mingw-build

👀 MinGW 32bit and 64bit version of OpenCV compiled on Windows. Including OpenCV 3.3.1, 3.4.1, 3.4.1-x64, 3.4.5, 4.0.0-alpha-x64, 4.0.0-rc-x64, 4.0.1-x64