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This project implements an LSTM-based time series prediction model to forecast electricity imbalance prices across Japan's 9 regional electricity markets. The model analyzes historical price data and ...

PyTorch中遇到内核崩溃问题，可尝试重启内核、检查代码错误、降低批量大小或更新环境依赖以解决。 1、 PyTorch中遇到内核崩溃问题，可尝试重启内核、检查代码逻辑、降低批量大小或更新驱动与库版本以解决。 2、 调用torch库时常会出现此类问题。 3、 问题常由 ...

在这个案例中，随机搜索和贝叶斯优化更成功。随机搜索给每个模型完整训练预算，让高性能配置达到全部潜力。贝叶斯优化的智能搜索在找最佳超参数集方面也比Hyperband的早停方法更有效。

Abstract: Conventional tide gauges have limitations in extreme weather due to their susceptibility to damage from high waves and storm surges, as well as potential inaccuracies caused by rapid changes ...

Abstract: Traffic flow prediction (TFP) plays a crucial role in optimizing road resource allocation and alleviating traffic congestion. However, existing TFP methods have limitations in capturing the ...

这些来自实践的经验和问题，往往缺乏系统性的公开讨论。为此，我们特别邀请到 J.P. Morgan 机器学习卓越中心（MLCOE）的王泽基 (Chak Wong) 教授。他将结合团队在构建可复用 AI 组件库过程中的实践，分享对上述问题的第一手经验与思考。

这两年，大模型训练几乎成了“高配显卡+大集群”的代名词，动辄上百张 GPU、上万亿参数，普通开发者根本碰不到。但与此同时，很多 AI 爱好者也在琢磨：如果只靠一台手边的笔记本，能不能玩点不一样的？哪怕没法训出 GPT-5 ...