FeiGSSS

LLM101n

LLM101n: Let's build a Storyteller

graphrag

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

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

pyod

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

darts

A python library for user-friendly forecasting and anomaly detection on time series.

FlagEmbedding

Retrieval and Retrieval-augmented LLMs

gpt-computer-assistant

Intelligence development framework in python for your product like Apple Intelligence

melty

Open source AI code editor. To download the packaged app:

torchchat

Run PyTorch LLMs locally on servers, desktop and mobile

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

rag-from-scratch

llm-graph-builder

Neo4j graph construction from unstructured data using LLMs

spreadsheet-is-all-you-need

A nanoGPT pipeline packed in a spreadsheet

LTSF-Linear

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

tods

TODS: An Automated Time-series Outlier Detection System

RAG-Survey

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

dtaidistance

Time series distances: Dynamic Time Warping (fast DTW implementation in C)

qdrant-client

Python client for Qdrant vector search engine

memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

AGI-survey

GNN-RAG

GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning

embedding_rerank_retrieval

本项目是针对RAG中的Retrieve阶段的召回技术及算法效果所做评估实验。使用主体框架为LlamaIndex.

TSB-UAD

An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection

FITS

FITS: Frequency Interpolation Time Series Analysis Baseline

OBSD

[ACL 2024 Best Paper] Deciphering Oracle Bone Language with Diffusion Models

FCVAE

Code of FCVAE accepted by WWW 2024

TimeMIL

The code for the paper: TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning

rebar

Code for Retrieval-Based Reconstruction For Time-series Contrastive Learning (ICLR 2024)

MicroDig