本人的科研经验

Repository for the book Grokking Machine Learning, by Manning Editors

Kolmogorov Arnold Networks

从无名小卒到大模型（LLM）大英雄~ 欢迎关注后续！！！

Apache IoTDB

Repository for "FreDF: Learning to Forecast in the Transformed Domain"

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.

该仓库主要记录 大模型（LLMs） 算法工程师相关的面试题

A curated list for Efficient Large Language Models

Fast inference from large lauguage models via speculative decoding

人工智能培训课件资源

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

LibCity: An Open Library for Urban Spatial-temporal Data Mining

Pipeline for Explainable Anomaly Detection over Time Series

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

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

A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)

MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection

TSGBench: Time Series Generation Benchmark (VLDB'24)

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

ProbTS is a benchmarking toolkit for time series forecasting.

My personal PyTorch framework for multivariate time series forecasting.

Multivariate Time Series Repository

TSB-AD: Towards A Reliable Time-Series Anomaly Detection Benchmark