mengmeng96 Goto Github PK

cheribsd

FreeBSD adapted for the CHERI CPU.

drls

Deep Reinforcement Learning based Time-Sensitive Network Scheduler

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mudis

使用C++实现KV存储引擎。

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-dqn

Deep Q-Learning Network in pytorch (not actively maintained)

pytorch-maml

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

resume

An elegant \LaTeX\ résumé template

serve

Model Serving on PyTorch

time-trigger-thread

Time trigger thread expansion base on RT-Thread

tsn-drls

tsn-scheduler

TSN-Scheduler

tutorials

PyTorch tutorials.