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Chunyi's Projects

agriculture_knowledgegraph icon agriculture_knowledgegraph

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

arga icon arga

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

awesome icon awesome

:sunglasses: Curated list of awesome lists

deeppavlov icon deeppavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

drl-rec icon drl-rec

Deep reinforcement learning for recommendation system

drqn-tensorflow icon drqn-tensorflow

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

fasteals icon fasteals

Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "

graphgan icon graphgan

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

h2o-3 icon h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

maxent icon maxent

Maximum Entropy Modeling Toolkit for Python and C++

models icon models

Models and examples built with TensorFlow

msongsdb icon msongsdb

Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.

nrlpapers icon nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

openne icon openne

An Open-Source Package for Network Embedding (NE)

parlai icon parlai

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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