idevede
Cao is primarily interested in developing machine learning and data mining algorithms that demonstrate a deep understanding of the world with special structures
USCU.S.
Pinned Repositories
TEMPO
The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.
-_-
This is the first Graphics experiment ,pushed to Github by Visual Studio
acmcode
哈工大数据结构课程写的一些代码
Bishe_firrtl
causalai
Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
CMI_NE_DGP
PEMS-dataset
ReLATE_CATE
SVGformer
TEMPO
idevede's Repositories
idevede/SVGformer
idevede/CMI_NE_DGP
idevede/PEMS-dataset
idevede/ReLATE_CATE
idevede/TEMPO
idevede/-_-
This is the first Graphics experiment ,pushed to Github by Visual Studio
idevede/Bishe_firrtl
idevede/causalai
Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
idevede/comp4187
Source material for Parallel Scientific Computing II given as part of the MEng in Computer Science at Durham University.
idevede/courseDesign
idevede/detectron2_use
idevede/dgc-GCN
forecasting demo using GCN
idevede/DTA
idevede/firrtl
Flexible Intermediate Representation for RTL
idevede/Graph-WaveNet
graph wavenet
idevede/hosts
镜像：https://scaffrey.coding.net/p/hosts/git / https://git.qvq.network/googlehosts/hosts
idevede/idevede.github.io
个人博客
idevede/idevede.github.io-
个人博客
idevede/LipCDE_clean_data
idevede/LipschitzRNN
Lipschitz Recurrent Neural Networks
idevede/LLMs4TS
idevede/Mask-RCNN
Implementation of Mask-RCNN in Caffe https://arxiv.org/pdf/1703.06870.pdf
idevede/PAR_ICML
idevede/sam.pytorch
A PyTorch implementation of Sharpness-Aware Minimization for Efficiently Improving Generalization
idevede/Scroll-Reverser
Per-device scrolling prefs on macOS.
idevede/Social-STGCNN
Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020
idevede/state-spaces
Sequence Modeling with Structured State Spaces
idevede/TEMPO_prob
The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.
idevede/Time-Series-Deconfounder
Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. Bica, A. M. Alaa, M. van der Schaar
idevede/Trajectron-plus-plus
Code accompanying "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).