Stars
A curated list of paper, code, data, and other resources focus on multimodal time series analysis.
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
ICML-2025 "KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling"
[VLDB' 25] ChatTS: Understanding, Chat, Reasoning about Time Series with TS-MLLM
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
[IJCAI 2025] Offical implementation of the paper "LLM-TPF: Multiscale Temporal Periodicity-Semantic Fusion LLMs for Time Series Forecasting".
ChatEV: Predicting electric vehicle charging demand as natural language processing
后端使用 SpringCloud Alibaba 开发，移动端使用 React Native 构建，管理后台使用 Arco Design 进行构建，并在支付上接入数字货币（比特币、以太坊UDST、平台Token）支付，后端采用 Hadoop 与 Flink 等大数据框架构建实时计算与离线计算体系。
Official implementation of "CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning" (AAAI 2025)
AAAI-2024 "TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling"
The Ultimate Guide to Creating an RPG Game in Unity 教程学习项目
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
欢迎来到 LLM-Dojo，这里是一个开源大模型学习场所，使用简洁且易阅读的代码构建模型训练框架(支持各种主流模型如Qwen、Llama、GLM等等)、RLHF框架(DPO/CPO/KTO/PPO)等各种功能。👩🎓👨🎓
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
MiniCPM-o 2.6: A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone
AR Interactive System Based on Hand Skeleton Gesture Recognition
🏫🎓 一个基于 SSM 的简单学生管理系统，项目概述全面，代码注释详细，逻辑结构清晰，对于初学 SSM 的同学非常具有参考与学习价值哟 !
about learning Spring Boot via examples. Spring Boot 教程、技术栈示例代码，快速简单上手教程。
mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于Spring Boot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。
A ShadowsocksR client for Android