XeniaLLL's repositories
cornac
A Comparative Framework for Multimodal Recommender Systems
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
FedAttack
Source code of FedAttack.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
xERM
[AAAI 2022] This is a Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"
HIST
The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information".
continuous-latent-process-flows
Code, data, and pre-trained models for the paper "Continuous Latent Process Flows" (NeurIPS 2021)
Stark
[ICCV'21] Learning Spatio-Temporal Transformer for Visual Tracking
IAPTT-GM
Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond"
glow-pytorch
PyTorch implementation of Glow
Temporal_Relational_Stock_Ranking
Code for paper "Temporal Relational Ranking for Stock Prediction"
StemGNN
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
Shift-Robust-GNNs
"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
GDN
Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"
CSDI
Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"
Few_Shot_Distribution_Calibration
[ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
OcCo
[ICCV' 21] "Unsupervised Point Cloud Pre-training via Occlusion Completion"
HierST
The open-source implementation of the paper "HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting"
M2m
Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)
EGI
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
neural-function-distributions
Pytorch implementation of Generative Models as Distributions of Functions 🌿