大模型基础: 一文了解大模型基础知识

A Python project to create specialized LLM-based AI agents that analyze complex medical cases. The system integrates insights from various medical professionals to provide comprehensive assessments…

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

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

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…

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

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

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

论文写作与资料分享

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

Bottom-up feature restoration

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

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

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

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

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

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

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

HGCAE Pytorch implementation. CVPR2021 accepted.

A curated list of awesome anomaly detection resources

Sequence modeling benchmarks and temporal convolutional networks

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

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

NeurIPS 2020, Debiased Contrastive Learning

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