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qin-folks's Projects

adl

Attention-based Dropout Layer for Weakly Supervised Object Localization, CVPR 2019 (Oral)

adversarial-object-removal

Code base for our paper " Adversarial Scene Editing: Automatic Object Removal from Weak Supervision" appearing in NIPS 2018.

aggcn

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

an2vec

Bringing node2vec and word2vec together for cool stuff

attend-infer-repeat---pytorch

S.M.Ali Eslam et.al. Attend, Infer, Repeat: Fast Scene Understanding with Generative Models ICML16

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

auto_yolo

Original implementation of Spatially Invariant Attend, Infer, Repeat (SPAIR) in TensorFlow.

awesome-resume-for-chinese

:page_facing_up: 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

baidu-netdisk-downloaderx

⚡️ 百度网盘不限速下载器 BND，支持 Windows、Mac 和 Linux。

beta-vae

A Pytorch Implementation of the Beta-VAE

cam

Class Activation Mapping

ccm-aae

Adversarial Autoencoders with Constant-Curvature Latent Manifolds (2018, https://arxiv.org/abs/1812.04314)

condgen

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

constrained-graph-variational-autoencoder

Sample code for Constrained Graph Variational Autoencoders

deep-infomax

This is a pytorch implementation of Deep-INFOMAX.

deep-value-networks-pytorch

Structured Prediction with Deep Value Networks (PyTorch implementation)

deep_gcns

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

deep_gcns_torch

Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

dfl-cnn

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

drnet

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

fitting-random-labels

Example code for the paper "Understanding deep learning requires rethinking generalization"

g-schnet

G-SchNet - a generative model for 3d molecular structures

gae-dgl

Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.

gcn-pytorch

Graph Convolution Network for PyTorch

generative_models

Pytorch implementations of generative models: AIR, DRAW, InfoGAN, DCGAN, SSVAE

gmm-torch

Gaussian mixture models in PyTorch.

gnn4cd

Supervised community detection with line graph neural networks

grabnet

GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)

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