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PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
Learning to Perform Local Rewriting for Combinatorial Optimization
CRF and hyphergraph based models combined with deep learning models.
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
TensorFlow Neural Machine Translation Tutorial
generative adversarial nets for neural machine translation
Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT
Must-read papers on network representation learning (NRL) / network embedding (NE)
Neural Sentiment Classification
Neural Relation Extraction implemented in TensorFlow
Implementation of the Option-Critic Architecture
Evolutionary multi-objective optimization platform
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
PouchContainer is an open-source project created to promote the container technology movement.
NSGA2, NSGA3, R-NSGA3, MOEAD, GA, DE,
Attention-based sequence to sequence learning
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
:dango: SeqGAN implementation for generating text using an RNN.
SeqGAN tensorflow implementation
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
The PyTorch Implementation of SummaRuNNer
Temporal-difference learning is a method to compute the values of all states by sampling the environment. It approximates the current estimate of a state value based on previously learned estimates (bootstrapping).
Dynamic seq2seq in TensorFlow, step by step
tensorflow实战练习,包括强化学习、推荐系统、nlp等
Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)
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.