点击上方“Deephub Imba”,关注公众号,好文章不错过 !这篇文章从头实现 LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures。需要说明的是，这里写的是一个简洁的最小化训练脚本，目标是了解 JEPA 的本质：对同一文本创建两个视图，预测被遮蔽片段的嵌入，用表示对齐损失来训练。本文的目标是 ...

Implementation of the EquiBot method and a Diffusion Policy baseline that takes point clouds as input. A set of three simulated mobile manipulation environments: Cloth Folding, Object Covering, and ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Official implementation of PU-Gaussian: Point Cloud Upsampling using 3D Gaussian Representation, accepted at ICCV 2025 e2e3D Workshop. The script can handle point clouds of any size, limited only by ...

本文旨在系统性地研究基于深度学习的电信级反垃圾与反钓鱼防护机制。文章将首先分析当前短信诈骗的技术特征与演化趋势，随后构建一个包含数据预处理、特征工程、模型训练及实时推理的完整技术架构。重点探讨如何利用自然语言处理技术提取短信文本的深层语义特征，以及如 ...

Safe coding is a collection of software design practices and patterns that allow for cost-effectively achieving a high degree ...

现代网络钓鱼工具包中集成的反机器人、地理围栏及行为生物特征分析等高级规避技术，标志着网络攻击已进入“隐形战争”时代。这些技术通过多维度的身份验证机制，有效地屏蔽了传统的自动化扫描与蜜罐监测，导致威胁情报的获取滞后，极大地增加了防御难度。本文通过对这些规避技术的深度解构，揭示了其依赖环境感知与行为判别的核心逻辑。

When an app needs data, it doesn't "open" a database. It sends a request to an API and waits for a clear answer. That's where FlaskAPI work fits in: building ...

还在纠结 Claude Code 的各种“黑魔法”怎么玩？Command、Subagent、Skills 到底有什么区别，各自适合什么场景？新出来的 Programmatic Tool Calling 又是啥，真的能提升「代码质量 + 开发效率」吗？因为一个工具不得不搭梯子，有没有体验接近、甚至更灵活的「平替」方案？本次分享将带你彻底搞懂～Claude Code ...

At each step, the programmer is able to see if, and how, a variable is affected. Trace tables are extremely useful because they enable a programmer to compare what ...