Name: Ya Wen
Type: User
Company: @https://github.com/NLPIR-team,@https://github.com/nusnlp
Bio: Chinese Academy of Sciences;
Research: Natural Language Understanding & Computer Vision & ASR;
My Thesis Title: Multimodal Machine Translation;
AI Architect
Location: lIT+USTC+CAS+BAIDU+AISPEECH+Dream
Ya Wen's Projects
覃健祥的学习笔记,各种几十分钟入门的文档
Action recognition using soft attention based deep recurrent neural networks
Adapt Intent Parser
Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"
A large collection of example and demo Soar agents for a variety of domains and problems.
系统架构、软件架构、AI架构
AI 开源数据集:图像 语音 文本 视频,other domain
AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world.
人工智能(AI): 自然语言处理、语音识别等领域学界和工业界汇集
AIVA (A.I. Virtual Assistant): General-purpose virtual assistant for developers.
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
AI Final Project
ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典
Anthelion is a plugin for Apache Nutch to crawl semantic annotations within HTML pages
document
ASR course at Chula 2018
A curated list of awesome Machine Learning frameworks, libraries and software.
机器学习资源大全中文版,包括机器学习领域的框架、库以及软件
Reading list for research topics in multimodal machine learning
:book: A curated list of resources dedicated to Natural Language Processing
An awesome list of high-quality open datasets in public domains (on-going).
Python资源大全中文版,内容包括:Web框架、网络爬虫、网络内容提取、模板引擎、数据库、数据可视化、图片处理、文本处理、自然语言处理、机器学习、日志、代码分析等
Recurrent Neural Network - A curated list of resources dedicated to RNN
Competition: 命名实体识别
Correct, reproducible, and fast builds for everyone.
A curated list of beginner resources in Natural Language Processing