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caffe

Caffe: a fast open framework for deep learning.

caffe2

This is currently an experimental refactoring of Caffe.

chinese-ocr

运用tensorflow实现自然场景文字检测,keras/pytorch实现crnn+ctc实现不定长中文OCR识别

conference

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepinterestnetwork

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15个章节，近20万字。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

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

din-pytorch

PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction

eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

euler

A distributed graph deep learning framework.

fuck-login

模拟登录一些知名的网站，为了方便爬取需要登录的网站

futuquant

富途量化平台 API

ga-dsi

git

Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.

imagebinarydataset

kaggle_ncfm

Using Keras+TensorFlow to solve NCFM-Leadboard Top 5%

latex-template-cn

\LaTeX 中文模版收集。

line

LINE: Large-scale information network embedding

lstm

Minimal, clean example of lstm neural network training in python, for learning purposes.

mnist

Mnist Learn

models

Models built with TensorFlow

models-1

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

nicodjimenez.github.io

Blog posts

opencv

Open Source Computer Vision Library

opencv-python-blueprints

OpenCV with Python Blueprints: Design and develop advanced computer vision projects using OpenCV with Python

opencv3-intro-book-src

《OpenCV3编程入门》书本配套源码||《Introduction to OpenCV3 Programming》Book Source Code

openimaj

The OpenIMAJ source code repository

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）