Labroots

Log-linear Model for Modeling for Biases in Microbiome Studies

Microbiome sequencing data are known to be biased; the measured taxa relative abundances can be systematically distorted from their true values at every step in the experimental/analysis workflow. If ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
insider.si.edu

Pickett & Eckel Model 2 Deci Log Log Duplex Slide Rule

IIIF provides researchers rich metadata and media viewing options for comparison of works across cultural heritage collections. Visit the IIIF page to learn more. This 10-inch duplex slide rule is ...
eLife

Mouse sensorimotor cortex reflects complex kinematic details during reaching and grasping

Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint ...
腾讯网

用 PyTorch 实现 LLM-JEPA：不预测 token，预测嵌入

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 ...
腾讯网

从 ReAct 到 Ralph Loop：AI Agent 的持续迭代范式

Ralph Loop 是一种自主迭代循环机制。你给出一个任务和完成条件后，代理开始执行该任务；当模型在某次迭代中尝试结束时，一个 Stop Hook 会拦截试图退出的动作，并重新注入原始任务提示，从而创建一个自我参照的反馈循环。在这个循环中，模型可以读取上一次迭代改动过的文件、测试结果和 git 历史，并据此逐步修正自己的输出直到达到完成条件或达到设定的迭代上限。