sherjy's Stars
cmhungsteve/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
janosh/awesome-normalizing-flows
Awesome resources on normalizing flows.
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Zymrael/awesome-neural-ode
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
snap-stanford/pretrain-gnns
Strategies for Pre-training Graph Neural Networks
wehos/awesome-graph-transformer
Papers about graph transformers.
flyingdoog/awesome-graph-explainability-papers
Papers about explainability of GNNs
patrick-kidger/NeuralCDE
Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
jxzhangjhu/Awesome-LLM-Uncertainty-Reliability-Robustness
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
ENSTA-U2IS-AI/awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
YuliaRubanova/latent_ode
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
acbull/GPT-GNN
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
yandex-research/tab-ddpm
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
yule-BUAA/DyGLib
A Library for Dynamic Graph Learning (NeurIPS 2023)
doujiang-zheng/Graph-Learning-Reading-List
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
PKU-DAIR/SGL
A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
ranpox/iclr2024-openreview-submissions
ICLR 2024 OpenReivew Submission Data
mbilos/neural-flows-experiments
Experiments for Neural Flows paper
crisbodnar/ndp
Official code for the ICLR 2021 paper Neural ODE Processes
fpour/DGB
Dynamic Graph Benchmark
KimMeen/Neural-Temporal-Walks
[NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"
ShaoQiBNU/uplift_model_notes
uplift模型业界应用总结
WhatAShot/ExcelFormer
The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
RManLuo/GSNOP
Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
libeineu/ODE-Transformer
This is a code repository for the ACL 2022 paper "ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation", which redesigns the Transformer architecture from the ODE perspective via using high-order ODE solvers to enhance the residual connections.
HerreraKrachTeichmann/NJODE
code for "Neural Jump Ordinary Differential Equations"
D10Andy/SAD
Kaike-Zhang/DyTed
yzhang1918/www2023tiger
Codes for WWW 2023 paper "TIGER: Temporal Interaction Graph Embedding with Restarts"
TingDang90/CNDP
Conditional Neural ODE Processes for Individual Disease Progression Forecasting