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a-deep-reinforced-model-for-abstractive-summarization

Pytorch implementation for paper of "A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION". https://arxiv.org/abs/1705.04304

aaai18-code

The code of AAAI18 paper "Learning Structured Representation for Text Classification via Reinforcement Learning".

actor-critic-public

The source code for "An Actor Critic Algorithm for Structured Prediction"

actor_criticpointer_network-tsp

Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Optimization with Reinforcement Learning, Bello et al, 2016)

adversarial-learning-for-neural-dialogue-generation-in-tensorflow

Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow

adversarial-mt

Code for "Imitation Attacks and Defenses for Black-box Machine Translations Systems"

advssl

A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

communitydetectioncodes

some overlapping community detection algorithms. Major contents are survey, algorithms' implementations, submodules, graph dataset benchmarks, evaluation metrics, scripts, some visualizations in Presentation folder.

data-poisoning-attacks-on-factorization-based-collaborative-filtering

Data poisoning attack of recommend system using the algorithm of MF.

deep-reinforced-abstractive-summarization

Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization"(https://arxiv.org/abs/1705.04304)

deep-reinforcement-learning-in-large-discrete-action-spaces

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

deeplearning

包括但不限于：DNN、AutoEncoder、CNN、RNN等

defrauder

distributed_ppo

This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dqn_mvc

Implementation of Learning Combinatorial Optimization Algorithms over Graphs, by Hanjun Dai et al. (2017)

entity-linking

Entity Linking，识别给定文本中出现的命名实体（Named Entity），并映射到特定的知识库中唯一的实体。包括命名实体识别、消歧等工作。

exposure_bias

some strategies for exposure bias in seq2seq

gans

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

graph-embedding

对Graph上顶点、边进行特征提取相关工作学习

graph-fraud-detection-papers

A curated list of fraud detection papers using graph information or graph neural networks

graphh

GraphH is a high availability and scalable graph algorithm framework based on the relational database. It use the vertex centered model that is similar to Giraph.

graphnn

Training computational graph on top of structured data (string, graph, etc)

imitation

Code for the paper "Generative Adversarial Imitation Learning"

lightrnn-nips2016-tensorflow_code

The tensorflow implementation of NIPS2016 paper "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks" (https://arxiv.org/abs/1610.09893)

matching-networks

Matching Networks for one-shot learning in tensorflow (NIPS'16)

matchingnetworks

An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf