dengxu11111 Goto Github PK

artistidentifier

Artist Identification Using CNNs

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-java

A curated list of awesome frameworks, libraries and software for the Java programming language.

coursea--test

coursea--test

cs

上过的公开课的作业，源代码的注释版本，一个大杂烩。

cs189

Machine Learning

cs231

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

cs231n-final

CS231N final project code

cs433

Computer Networks Spring 2016 at Yale

cs50

cs61a

cs61a-1

Some of the projects I did in UC Berkeley's CS61a course, "Structure and Interpretation of Computer Programs"

cs61a-2

Structure and Interpretation of Computer Programs

cs61b

cs61c

All Coursework from my CS61c (Great Ideas in Computer Architecture / Machine Structures) Course at UC Berkeley

dubbo

:loudspeaker: Dubbo is a distributed, high performance RPC framework enpowering applications with service import/export capabilities.

free-programming-books

:books: Freely available programming books

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

java

java-design-patterns

Design patterns implemented in Java

javascript

JavaScript Style Guide

oh-my-zsh

A delightful community-driven (with 1,000+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

rxjava

RxJava – Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.

skeleton-sp18

spring-framework

The Spring Framework

srez

Image super-resolution through deep learning

stanford-cs229

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

top-down-approach

myk's learning material of Computer Network: Top Down Approach