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Implementation of abstractive summarization using LSTM with Residual Recurrent Attention in the encoder-decoder architecture with local attention.
Adaptive Synthetic Sampling Approach for Imbalanced Learning
This repository contains a new adversarial training method for Generative Conversational Agents
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
A PyTorch implementation of the Transformer model in "Attention is All You Need".
A self driving car model for humans.
The most cited deep learning papers
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
Books about Nodejs, Angular2, Agile, Clean Code, Docker, Golang, Microservices, REST, TDD, BDD, and Startups.
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
Essential Cheat Sheets for deep learning and machine learning researchers
《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep Residual Learning for Image Recognition
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
Summaries and notes on Deep Learning research papers
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
A list of recent papers regarding dialogue generation
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
An example of data parallelism and async updates of parameter in tensorflow.
Reading Wikipedia to Answer Open-Domain Questions
Tensorflow implementation of Dynamic Coattention Networks for Question Answering.
The world's simplest facial recognition api for Python and the command line
Image Classification and Image Retrieval on landmarks using transfer learning on VGG16 and DeLF. This is a famous Kaggle competition https://www.kaggle.com/c/landmark-recognition-challenge
Presentations from H2O meetups & conferences by the H2O.ai team
Classify claims for accelerating BNP Paribas Cardif's claims management process
Code for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.
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.