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alphatree-graphic-deep-neural-network

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

am-gcn

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

awesome-gcn

resources for graph convolutional networks （图卷积神经网络相关资源）

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

benchmarking-gnns

Repository for benchmarking graph neural networks

bert4keras

light reimplement of bert for keras

beta-vae

Pytorch implementation of β-VAE

capsule

A Capsule Implement with Pure Keras

cdial-gpt

A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models

celeba-hq-dataset-download

Download CelebA-HQ dataset easily ! Create with docker or download from Google Drive.

cfecbf

This repository contains the core model we called "Collaborative filtering enhanced Content-based Filtering" published in our UMUAI article "Movie Genome: Alleviating New Item Cold Start in Movie Recommendation"

chinese-medical-dialogue-data

Chinese medical dialogue data 中文医疗对话数据集

chinese_medical_nlp

中文医疗NLP领域 数据集，论文 ，知识图谱，语料，工具包

chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

cifar-10.1

Release of CIFAR-10.1, a new test set for CIFAR-10.

cmedqa2

This is updated version of the dataset for Chinese community medical question answering.

controllable-factorvae

Code and report of project "Controlable-Factorized VAE"

coupledcf-forked

The paper and code of CoupledCF in Ijcai 2018

courses

:rocket: 录制的视频课程资料

cvae

Conditional variational autoencoder implementation in Torch

cvae-1

Convolutional Variational Autoencoder

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deep-learning-with-python

Example projects I completed to understand Deep Learning techniques with Tensorflow.

dgcnn

Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diabetic_study

对糖尿病数据集的研究

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

dsprites-dataset

Dataset to assess the disentanglement properties of unsupervised learning methods

eagcn

Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling

exact-k-recommendation