This repository offers a collection of recent time series research papers, including forecasting, anomaly detection and so on , with links to code and resources.

verl: Volcano Engine Reinforcement Learning for LLMs

Official Repo for Open-Reasoner-Zero

[ICLR2025]Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series

Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"

High-Performance Symbolic Regression in Python and Julia

[AAAI 2025] Official Implementation of "Auto-Regressive Moving Diffusion Models for Time Series Forecasting"

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

[CVPR2023]Discrete Point-wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition

[CVPR2024]Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training

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

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey

Compositional Differentiable Programming Library

An up-to-date list of time-series related papers in AI venues.

Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative dual-orthogonal Transformer encoder architecture with a cross…

About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/2402.02366

About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664

PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction".

DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

[ICLR 2024] Official Implementation of "Diffusion-TS: Interpretable Diffusion for General Time Series Generation"

A library for scientific machine learning and physics-informed learning