sdfsfdx

AdjustAutocorrelation

Adjusting for Autocorrelated Errors in Neural Networks for Time Series

BERT4Rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

bondnet

A graph neural network for the prediction of bond dissociation energies for molecules of any charge.

CoSeRec

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

DA-RNN

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

DCAP

dct-snn

Code for DCT_SNN, an input encoding scheme for SNNs using DCT

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deepar

An Implementation of DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

sdfsfdx/AdjustAutocorrelation

Adjusting for Autocorrelated Errors in Neural Networks for Time Series

sdfsfdx/bondnet

A graph neural network for the prediction of bond dissociation energies for molecules of any charge.

sdfsfdx/CoSeRec

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

sdfsfdx/CSDI

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

sdfsfdx/DA-RNN

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

sdfsfdx/DCAP

sdfsfdx/dct-snn

Code for DCT_SNN, an input encoding scheme for SNNs using DCT

sdfsfdx/deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

sdfsfdx/DGCN

The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)

sdfsfdx/DGTN

[ICDMW 2020] Code and dataset for "DGTN: Dual-channel Graph Transition Network for Session-based Recommendation"

sdfsfdx/DHCN

Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

sdfsfdx/dnas

DNAS

sdfsfdx/DSANForAAAI2021

sdfsfdx/e2efold

pytorch implementation for "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"

sdfsfdx/EDUA

Code of our paper "Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation" accepted by SIGIR 2021.

sdfsfdx/FMLP-Rec

sdfsfdx/FOREC

The implementation of our CIKM 2021 paper titled as: "Cross-Market Product Recommendation"

sdfsfdx/gluon-ts

Probabilistic time series modeling in Python

sdfsfdx/GRCN

Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback

sdfsfdx/HalentNet

sdfsfdx/LightGCN

sdfsfdx/LSTPM

Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin: Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI 2020 accepted.

sdfsfdx/MMGCN

MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video

sdfsfdx/openc910

OpenXuantie - OpenC910 Core

sdfsfdx/REST

sdfsfdx/sdfsfdx

Config files for my GitHub profile.

sdfsfdx/SEFrame

An Efficient and Effective Framework for Session-based Social Recommendation

sdfsfdx/SR-GNN

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

sdfsfdx/torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

sdfsfdx/Transformer_Time_Series

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)