my-CS-road

Here is the document of my self-study road to Computer Science. Hope my road can shed little light to you.

The open source classes I have taken and to be taken

• CS61c, this class is to introduce the computer system.
• CS161, this class is to introduce the computer security.
  • The project 1, which is about exploiting the C program vulnerabilities using gdb.
  • The project 2, which is about the encrypted system using Go. It is really a heavy project, and I haved started it.
• MIT 6.5940, this class is to introduce the efficient deep learning.
• CMU 10-714, Deep learning system. The class will lead to build your own dlsys needle (NEcessary Element of Deep LEarning system).
  • Needle supports training and inference with CUDA backend, cpu backend and numpy backend.
• Dive into deep learning, this class is to introduce the deep learning and machine learning.
• deeplearning-ai, this class is to introduce the deep learning and machine learning.
• MIT s6.031, this class is to introduce the software construction.
• MIT Missing semester, this class is to introduce the tools that will never be taught in class but will be very useful.
• [PKU 编译原理实践]
  • I found this class on csdiy, which has become my primary learning resource. Before that, I gained basic knowledge by watching the USTC compiler videos on Bilibili.
  • This course aims to implement a compiler that translates SysY—a simplified version of the C language—into RISC-V assembly. And I'm still working on it.

The project I have done and to be done

• Relation extraction with BERT
• Name entity recognition with BERT
• The object kinetic Monte Carlo simulation
• The program of canonical Huffman compression
• Tinyflow, which is to implement the deep learning framework, written by tianqi. [UPDATE], this class is covered in CMU 10-714. I will put tinyflow aside.

Other millstones about CS

• LeetCode knight
• LeetCode guardian.