XeniaLLL

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)

backdoor_federated_learning

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

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

ETL-master

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

GCE-GNN

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

glow

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

HCFlow

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

Incremental-GNNs

Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift

Invertible-Zero-Shot-Recognition-Flows

lifelong-learning

Lifelong Learning of Graph Neural Networks for Open-World Node Classification

MAN-SF

Reproduction of the paper "Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations"

MTDNN

Multi-scale Two-way Deep Neural Network

nlp_clip_pytorch

star_transformer pytorch

noise_flow

Noise Flow: Noise Modeling with Conditional Normalizing Flows

OOD_Federated_Learning

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

overnight-stock-movement-prediction

profit-naacl

Code for PROFIT: Quantitative Day Trading From Natural Language Using Reinforcement Learning at NAACL 2021

Pytorch-Stocknet

SRFlow

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

SRFlow-pytorch

[WIP] pytorch implementation of paper "SRFlow: Learning the Super-Resolution Space with Normalizing Flow"

statsthinking21-python

Python companion for Statistical Thinking in the 21st Century

STGODE

Spatial-Temporal Graph ODE Neural Network

sthan-sr-aaai

survae_flows

Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"

XeniaLLL.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes