计算机自学指南

the resources I use to learn computer science in my spare time

No repository description provided.

Learning materials for Stanford Computer Network course : CS144

No repository description provided.

MIT undergraduate operating system course

Learning materials for UCB CS186: Introduction to Database System

all the course resources of UCB's CS61C course -- Great ideas in computer architecture

discrete mathematics and probability theory

CS106L : Standard C++ Programming Course

Learning material for CMU10-714: Deep Learning System

Learning materials for Stanford CS149 : Parallel Computing

My learning materials for Computer Networking : A Top Down Approach

all the course resources and my completion for all the projects

distributed system

UCB EECS126 : probability theory and random processes.

all the notes, ppts and homework for CS224n

Stanford convex optimization course

cs50 AI course resources

No repository description provided.

A workshop on Linux containers: Rebuild Docker from Scratch

learning materials and implementation for MIT6.031: software construction problemsets

This repo contains all the learning materials for UC Berkeley's course CS170 : Efficient Algorithms and Intractable Problems

UC Berkeley signal and system course

UCB EECS16A Designing Information Devices and Systems I

my implementation for the CS61C labs in 2020 summer version

Course materials for MIT6.5940: TinyML and Efficient Deep Learning Computing

Stanford CS110L: Safety in Systems Programming

Learning materials for UCB CS169 : software engineering

undergraduate numerical analysis course in MIT

This repo is deprecated.

名校公开课程评价网

Thesis template for undergraduate students at Peking University.

Learning materials for Stanford Compiler course : CS143

Stanford CS149 -- Assignment 1

my personal repo

Course project for UCB-CS168

Learning resources for MIT6.1600: Foundations of Computer Security.

Course website for Operating System course in Peking University.

研究生课《网络大数据管理理论和应用》大作业项目代码

UCB-CS61C project3 : RISC-V CPU design

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Curated list of project-based tutorials

implement a simple MNIST classifier by RISC-V

Stanford CS149 -- Assignment 2

C implementation of the Game Of Life

My homepage

Create your Professional/Educational resume using LaTeX

Hangperson: a scaffolded (!) ESaaS getting-started assignment

CS179 : GPU computing

No repository description provided.

the backend of the project of Software Engineering

Stanford CS149 - Assignment 4

Stanford CS149 -- Assignment 3

12 Weeks, 24 Lessons, IoT for All!

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Ruby Introduction Assignment for Agile Development using Ruby on Rails

Auto parallelization for large-scale neural networks

🤓 Build your own (insert technology here)

codes for the exercises of Machine-Learning by ZhouZhihua

website for operating system course at Peking University

Fig adds autocomplete to your terminal.

A complete daily plan for studying to become a machine learning engineer.

Spring 2021 Project 1 Skeleton Code

Practice with ActiveRecord using RSpec

PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications

No repository description provided.

Rails version of hw-sinatra-saas-hangperson, to show differences between Sinatra and Rails

FlyingPig's Dotfiles repository

C project which plot the Mandelbrot Fractal.

No repository description provided.

Microsoft Azure Traces

No repository description provided.

No repository description provided.

北京大学疫情出入校自动填报

No repository description provided.

Create your first Rails up (companion to the intro rails chapter in the ESaaS textbook)

No repository description provided.

a Java project that mixes up PlantsVSZombies and Arknights