TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

FEMU: Accurate, Scalable and Extensible NVMe SSD Emulator (FAST'18)

Notes on data structures and algorithms for competitive programming

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Awesome-LLM: a curated list of Large Language Model

[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

Large Language & Foundation Models for Time Series.

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

A Zotero plugin for syncing items and notes into Notion

paper and its code for AI System

Containing dozens of real-world and synthetic tests, CoreMark®-PRO (2015) is an industry-standard benchmark that measures the multi-processor performance of central processing units (CPU) and embed…