xenialll Goto Github PK

adgat

Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks

ageflow

AgeFlow: Conditional Age Progression and Regression with Normalizing Flows (IJCAI 2021)

ajaxfileupload

A jQuery plugin that simulates asynchronous file uploads.

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

backdoor_federated_learning

Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

birdstudy

review all kinds of studies about java to enhance myself rather being a simple ant

citicup.project

The project aims to establish a platform for person to person dona-tions, which means, unlike like donating to charity organizations like the Red Cross, people donate money directly to individuals (Person to person) .

continuous-latent-process-flows

Code, data, and pre-trained models for the paper "Continuous Latent Process Flows" (NeurIPS 2021)

cornac

A Comparative Framework for Multimodal Recommender Systems

critical_look_causal_dlvms

csdi

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

cse-517-project

Code repository for our (Andy Jones, Brandon Ko, Kyle Xiao) CSE 517 reproducibility project. Contains our code used in attempting to reproduce the model and finding's of Sawhney et al.'s "Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations".

cvpr-2020-leap

Unofficial implement of LEAP(Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective) for Multi-Label Classification.

daphne

Code for first-order probabilistic programming to continuous normalizing flow compiler.

discflowmh

Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC

egi

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')

etl-master

This is a pytorch implementation of our paper: "Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation"

fedattack

Source code of FedAttack.

fedu2

This repository is an official PyTorch implementation of paper: Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. CVPR 2024.

few_shot_distribution_calibration

[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

frontpage

this describe the tips in my study in front page, especially using the friendly framework Vue

gans-n-gmms

Official implementation of "On GANs and GMMs"

gce-gnn

The source code for "Global Context Enhanced Graph Neural Network for Session-based Recommendation".

gdn

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

glow-pytorch

PyTorch implementation of Glow

gnn-lm

hcflow

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

hgnn

Hyperbolic Graph Neural Networks

hierst

The open-source implementation of the paper "HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting"