ycdreaming1 Goto Github PK

afec

AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)

am-gcn

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

attention-mechanism-implementation

Self-attention、Non-local、SE、SK、CBAM、DANet

attention-pytorch

注意力机制实践

autoregressive-tensor

Low-rank autoregressive tensor completion for spatiotemporal traffic data imputation. (IEEE TITS'22)

awesome-mamba-papers

Awesome Papers related to Mamba.

awesome-timeseries-spatiotemporal-diffusion-model

A list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

benchmark_vae

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

bht-arima

Code for paper: Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting (AAAI-20)

bitgraph

The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.

clogan

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.

codes-of-fgsr-neurips-2019

continual-ddpm

Continual Learning for Diffusion Models

continual-transfer-learning-injection-molding

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

continualgp

Continual Gaussian Processes

crvae

Official code release for Consistency Regularization for VAEs

dart

Deep Autoregressive Tensor Trains

deep-kernel-gp

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

deep-latent-gaussian-models

PyTorch implementation for Deep Latent Gaussian Models(DLGM) https://arxiv.org/abs/1401.4082

dkt

Distributed Knowledge Transfer (DKT) method for Distributed Continual Learning

doubly-stochastic-dgp

Deep Gaussian Processes with Doubly Stochastic Variational Inference

erdiff

[NeurIPS'23 Spotlight] Official Repo for "Extraction and recovery of spatio-temporal structure in latent dynamics alignment with diffusion models"

ewc.pytorch

An implementation of EWC with PyTorch

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

focal

Pytorch Implementation of FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space

frcl

Functional Regularisation for Continual Learning with Gaussian Processes

gain

Implementation of Generative Adversarial Imputation Network (GAIN) - 2023

gaussian-mixture-models

Gaussian Mixture Model (GMM) and Gaussian Mixture Regression (GMR) implemented purely on numpy