它适合谁？有 Python 和 PyTorch/Keras 基础、想搞懂 CTC 损失怎么用在中文识别上的开发者；也适合做课程设计、需要一份能讲清楚原理的完整工程的学生。不适合指望开箱即用、直接上生产环境的人——这份代码是教学和实验导向的，不是工业级方案。

本内容遵循CC 4.0 BY-SA版权协议 本文介绍基于Python的光场相机阵列深度估计完整流程，涵盖5D光场张量构建、View-Aggregation CNN模型设计、物理可解释混合损失函数、训练调试关键避坑点，以及ONNX导出与Jetson Nano/TensorRT边缘部署。所有代码模块解耦、轻量可复现 ...

In this tutorial you will go through the full Human-in-the-Loop Sample-Efficient Reinforcement Learning (HIL-SERL) workflow using LeRobot. You will master training a policy with RL on a real robot in ...

Emergency alert app hack hits Ukraine and Russia: fake nuclear warnings, 33 regions, no confirmed attacker. Facts and dev lessons.

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...