ZDstandup

A-novel-method-for-paper-reviewer-recommendation

A novel method for paper-reviewer recommendation

awesome-python-cn

Python资源大全中文版，包括：Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由伯乐在线持续更新。

benchmark_results

Visual Tracking Paper List

china_ai_lawCup

chinese ai law cup/a ai contest

Constructive-Covering-Algorithm

A traditional and original algorithm (CCA) for classification.

locating-objects-without-bboxes

PyTorch code for "Locating objects without bounding boxes" - Loss function and trained models

SegPhrase

snownlp

Python library for processing Chinese text

Some-deep-model-for-text-classification

This project is a simple conclusion of some deep model for document classification. As for these model implementations, i mainly referred brightmart (https://github.com/brightmart). I studyed them and coded them by myself. So here i have a conclusion to have review one day.

titanic_notebook

ZDstandup/Anomaly-Transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

ZDstandup/anomaly_transformer_pytorch

PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

ZDstandup/awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

ZDstandup/awesome-anomaly-detection

A curated list of awesome anomaly detection resources

ZDstandup/awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

ZDstandup/bufr

Bottom-up feature restoration

ZDstandup/CFDPython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

ZDstandup/Chinese_Medical_Natural_Language_Processing_Resources_and_Papers

各大顶会医疗领域NLP论文与资源。NLP papers and resources in the medical field.

ZDstandup/ClinicalProjections_SepsisOnset

This project translates clinical constraints into high dimensional mathematical constraints and uses projections to correct erroneous data as well as engineer new "distance-to-normal" features that help improve sepsis predictions.

ZDstandup/DCL

NeurIPS 2020, Debiased Contrastive Learning

ZDstandup/DDA

Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"

ZDstandup/DenseCL

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

ZDstandup/doing_the_PhD

ZDstandup/ev_tta

Official PyTorch implementation of Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition (CVPR 2022)

ZDstandup/GDN

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

ZDstandup/GNNs-in-Network-Neuroscience

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

ZDstandup/HGCAE

HGCAE Pytorch implementation. CVPR2021 accepted.

ZDstandup/KRD

Code for ICML 2023 paper "Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs"

ZDstandup/MemDPC

[ECCV'20 Spotlight] Memory-augmented Dense Predictive Coding for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

ZDstandup/MultimodalMIMIC

ZDstandup/OneShot_WeaklySeg

ZDstandup/PyContrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

ZDstandup/research-method

论文写作与资料分享

ZDstandup/TCN

Sequence modeling benchmarks and temporal convolutional networks

ZDstandup/Time-Series-Work-Conference

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, etc.)

ZDstandup/TTA-IQA

Code for Test Time Adaptation in the context of Blind Image Quality Assessment.

ZDstandup/vessel_tree_generator

ZDstandup/VesselGraph

ZDstandup/video_repres_sts

Pytorch implementation of Self-supervised Video Representation Learning by Uncovering Motion and Appearance Statistics

ZDstandup/WSL4MIS

Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.