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Name: YCdreaming~
Type: User
Company: Northeastern University
Location: Shenyang, China
Name: YCdreaming~
Type: User
Company: Northeastern University
Location: Shenyang, China
AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)
Adaptive Graph Convolutional Recurrent Network
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Self-attention、Non-local、SE、SK、CBAM、DANet
注意力机制实践
Low-rank autoregressive tensor completion for spatiotemporal traffic data imputation. (IEEE TITS'22)
Awesome Papers related to Mamba.
A list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)
The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.
CEL Continual Learning
Implementation of Rios, A., & Itti, L. (2019, August). Closed-loop memory gan for continual learning. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (pp. 3332-3338). AAAI Press.
Continual Learning for Diffusion Models
Code to reproduce the results from the paper "Industrial Transfer Learning: Boosting Machine Learning in Production" by Tercan et al., submitted to the IEEE International Conference on Industrial Informatics, INDIN’19
Continual Gaussian Processes
Official code release for Consistency Regularization for VAEs
This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
Deep Autoregressive Tensor Trains
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
PyTorch implementation for Deep Latent Gaussian Models(DLGM) https://arxiv.org/abs/1401.4082
Distributed Knowledge Transfer (DKT) method for Distributed Continual Learning
Deep Gaussian Processes with Doubly Stochastic Variational Inference
[NeurIPS'23 Spotlight] Official Repo for "Extraction and recovery of spatio-temporal structure in latent dynamics alignment with diffusion models"
An implementation of EWC with PyTorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.