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attention-learn-to-route

Attention based model for learning to solve different routing problems

awesome-programming-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

bert

TensorFlow code and pre-trained models for BERT

bert-use-demo

the demo for bert

bert_in_keras

在Keras下微调Bert的一些例子；some examples of bert in keras

bingwallpaperdownload

Bing Wallpaper Download (BWD). Download wallpaper from Bing daily.

chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

conceptnet5

Code for building ConceptNet from raw data.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deeplearning

deeplearning_ai_books

黄海广博士整理的【吴恩达】深度学习笔记

deeprl

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

entity-relation-extraction

Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

hadoop-2.7.3_windows

基于Apache官方原版包进行修改的,适用于Windows系统的hadoop配置文件

inspect_word2vec

Python code for checking out Google's pre-trained, 3M word Word2Vec model

irn

code and data for my COLING paper "An Interpretable Reasoning Network for Multi-Relation Question Answering"

keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

knowledge-graph

知识图谱-概念与技术

knowledgegraphcourse

东南大学《知识图谱》研究生课程

models

Models and examples built with TensorFlow

neural-combinatorial-optimization-rl-tensorflow

neural-symbolic-machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

opencv-python

This repository generates precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorch_neural_symbolic_machines

A PyTorch Implementation of Neural Symbolic Machines by Liang et al. (2018)

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-tutorial

郑泽宇等《TensorFlow实战Google深度学习框架》（第二版）学习