A-MEM: Agentic Memory for LLM Agents

A-MEM: Agentic Memory for LLM Agents

A modular graph-based Retrieval-Augmented Generation (RAG) system

🦜🔗 Build context-aware reasoning applications

DSPy: The framework for programming—not prompting—foundation models

Official website for "Empowering Time Series Analysis with Large Language Models: A Survey"

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

The code for our ICLR 2024 paper: "Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs"

This is the official github repo of Think-on-Graph. If you are interested in our work or willing to join our research team in Shenzhen, please feel free to contact us by email (xuchengjin@idea.edu.cn)

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

Pipeline for Explainable Anomaly Detection over Time Series

A framework for editing the CoTs for better factuality

A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

Log-based Anomaly Detection with Deep Learning: How Far Are We? (ICSE 2022, Technical Track)

TODS: An Automated Time-series Outlier Detection System

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

A curated (most recent) list of resources for Learning with Noisy Labels