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.
CS 839 Advanced Machine Learning Systems, Spring 2022
- This course will cover a wide range of topics related to the design and implementation of Systems for Machine Learning including efficient model training, inference and specialized systems designed for graph learning, recommendation systems etc.
- The prerequisites for this course are Advanced Operating Systems (CS 736) or Big Data Systems (CS 744), or equivalent courses.
- This is really a high performance ML-sys, and I just find it recently.

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.