sanwan Goto Github PK

mlds2018spring

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

mmapbench

mmd-shader-tutorial

基于mikumikudance的着色器开发教程

mobiledevweekly

平安金融科技移动开发周报

mockserver

MockServer enables easy mocking of any system you integrate with via HTTP or HTTPS with clients written in Java, JavaScript and Ruby. MockServer also includes a proxy that introspects all proxied traffic including encrypted SSL traffic and supports Port Forwarding, Web Proxying (i.e. HTTP proxy), HTTPS Tunneling Proxying (using HTTP CONNECT) and SOCKS Proxying (i.e. dynamic port forwarding).

mongodb-performance-test

multithreaded test tool to test mongodb performances, such as throughput and latency

motan

A remote procedure call(RPC) framework for rapid development of high performance distributed services.

mst-sec-lecture-notes

:book:【停】米斯特白帽培训讲义

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

my-blog

马云云在Github的学习片段

my-blog-1

我的博客

mynote

个人技术笔记收藏 , java8!

netty-learning

Netty learning.

neural-slam

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

new-pac

nextcloud-java-api

Java api library to access nextcloud features from java applications

ngrinder

enterprise level performance testing solution

nju-cs-kaoyan

南京大学计算机考研经验贴

nlp-beginner

NLP上手教程

nlp-beginner-finish

此项目完成了关于 NLP-Beginner：自然语言处理入门练习 的所有任务，所有代码都经过测试,可以正常运行。

node

evented I/O for v8 javascript

node-addon-examples

Node.js C++ addon examples from http://nodejs.org/docs/latest/api/addons.html

nodekrpano

Krpano 全景笔记

ntu-hsuantienlin-machinelearning

ntu-machine-learning

**大学李宏毅老师机器学习

ntu_hylee_machinelearning_homework

台大李宏毅 (Hung-yi Lee) 的Machine Learning課程的課程作業分享

ntu_ml2017_hung-yi-lee_hw

NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业

oauth2-demo

Re：从零开始的Spring Security Oauth2（一）

obj

A simple Wavefront OBJ file loader

official-images

Primary source of truth for the Docker "Official Images" program