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Implmentiaion of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow
Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano
Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks
Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019
Code and hyperparameters for the paper "Generative Adversarial Networks"
A-Fast-RCNN (CVPR 2017)
The implementation of paper https://arxiv.org/abs/1704.07556, ACL 2017
The classical papers and codes about generative adversarial nets
农业知识图谱(KG):农业领域的信息检索,命名实体识别,关系抽取,分类树构建,数据挖掘
Infinite adventures await!
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance.
FAQ-based Question Answering System
Deep Learning and applications in Startups, CV, Text Mining, NLP
A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings.
Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.
Aspect-augmented Adversarial Networks for Domain Adaptation
keras结合Attention机制用CNN和LSTM进行句子分类
Implementing different neural architectures for ABSA. [IN PROGRESS]
Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Boundary Equibilibrium Generative Adversarial Networks Implementation in Tensorflow
Mapping a variable-length sentence to a fixed-length vector using BERT model
A trial of kbqa based on bert for NLPCC2016/2017 Task 5 (基于BERT的中文知识库问答实践,代码可跑通)
Tool for visualizing attention in the Transformer model (BERT, GPT-2, XLNet, RoBERTa, CTRL, etc.)
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
Bi-Directional Block Self-Attention
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.