Showing 30 of 1,449 · Category: Machine Learning
Re-derivation of oxygen-vacancy formation-energy results in non-magnetic oxides with structure-only and descriptor-augmented graph networks: stored records, predictions, specs and scripts; no GPU or retraining needed.
Verified JAX/Equinox ports of Hugging Face LLMs and embedding models: numerically matched against PyTorch, forward and backward, and saved back to Hugging Face formats.
《从零开始学人工智能：中学生 CAICP 学习指南》｜陈峥著｜完整 PDF、按章源稿、原创插图与 Python 示例，面向中学生从基础学习人工智能。
Multiple features linear regression and batch gradient descent implemented from scratch in Python using NumPy.
MUH-920 Artificial Intelligence Applications in Engineering, SDÜ. Open 14-week undergraduate course for all engineering and science departments: Agents, search, fuzzy logic, evolutionary and swarm optimization, machine and deep learning, generative AI and reinforcement learning, with interactive labs, Colab notebooks and a Python track.
Ryan Vo | Work in progress: feature-freshness-monitor-ryan-vo
Alan Vo | Work in progress: ai-data-pipeline-alan-vo
Alan Vo | Work in progress: log-to-observability-alan-vo
Alan Vo | Work in progress: orbit-observatory-alan-vo
Alan Vo | Work in progress: prism-lens-alan-vo
An AI-first programming language and runtime for typed, auditable, reproducible AI workflows.
End-to-end machine learning application for detecting potentially fraudulent financial transactions.
A reproducible, leak-free machine learning benchmarking lab for regression model comparison, cross-validation, diagnostics, experiment tracking, and interactive Streamlit-based inference using the California Housing dataset.
End-to-end robotic-arm imitation learning with LeRobot × SO-ARM101: teleoperation data collection, ACT training, real-world deployment, and a root-cause analysis of behavior-cloning overfitting.
Alan Vo | Work in progress: log-anomaly-detector-alan-vo
Alan Vo | Work in progress: orbit-engine-alan-vo
Ryan Vo | Work in progress: lumen-studio-ryan-vo
Ryan Vo | Work in progress: vector-hub-ryan-vo
Ryan Vo | Work in progress: nexus-workbench-144-ryan-vo
An interactive, self-paced Computer Science roadmap covering 36 subjects—from programming and mathematics to systems, software engineering, cloud, and AI. Includes study planning, progress tracking, curriculum coverage insights, learning resources, and hands-on project ideas.
用一套数字指纹归因流程，把候选换成狗猫品种。附对照组：与库内任何品种都无生成关系的均匀随机整数，同样拿到 81.73%~99.999% 的品种族概率。
Alan Vo | Work in progress: prism-workbench-145-alan-vo
Alan Vo | Work in progress: cobalt-observatory-144-alan-vo
Alan Vo | Work in progress: vector-lens-146-alan-vo
Ryan Vo | Work in progress: prism-observatory-ryan-vo
Ryan Vo | Work in progress: axiom-hub-144-ryan-vo
Draw PyTorch model architectures as clean figures for papers and slides, in one call.
A runnable, dependency-free template for paired ML experiments with honest run auditing.