FeiGSSS

LLM101n

LLM101n: Let's build a Storyteller

Reactive-Resume

A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!

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.

ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

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.

paper-qa

High accuracy RAG for answering questions from scientific documents with citations

melty

Chat first 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.

llm-graph-builder

Neo4j graph construction from unstructured data using LLMs

LTSF-Linear

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

clusterdata

cluster data collected from production clusters in Alibaba for cluster management research

tods

TODS: An Automated Time-series Outlier Detection System

dtaidistance

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

BasicTS

A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

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.

TSB-UAD

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

VisionTS

Code for our paper "VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters".

FITS

FITS: Frequency Interpolation Time Series Analysis Baseline

MambaAD

[NeurIPS 2024] Official implementation of MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection.

ReinMax

Beyond Straight-Through

awesome-LLM-AIOps

A list of awesome academic researches and industrial materials about Large Language Model (LLM) and Artificial Intelligence for IT Operations (AIOps).

OBSD

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

FCVAE

Code of FCVAE accepted by WWW 2024

rebar

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

RCAEval

[ASE'24] Root Cause Analysis for Microservice System based on Causal Inference: How Far Are We?

MicroDig