A repository with a selection of hand picked free courses from high quality universities that amount to a full Computer Science undergrad curriculum, based on 2019's MIT undergrad curriculum.
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Updated
Feb 16, 2021
A repository with a selection of hand picked free courses from high quality universities that amount to a full Computer Science undergrad curriculum, based on 2019's MIT undergrad curriculum.
🎓 Path to a free self-taught education in Computer Science!
A repository with a selection of hand picked free courses from high quality universities that amount to a full Computer Science undergrad curriculum, based on 2019's MIT undergrad curriculum.
Structure and Interpretation of Computer Programs, Fall 2018
sgal's solution for CS 61A, Summer 2019, most of which in one line
UC Berkeley EE16B AI Chatbot 🤖 🖥️ 🐻
Web applications for CS Mentors.
UC Berkeley course notes
Sequoia: Student Researcher & Instructor at UC Berkeley
My solutions to UC Berkeley's CS285: Deep Reinforcement Learning 2021
Pytorch implementatiions of the Homeworks in course CS294-158
🤖 A unified repository of coursework fragments from UC Berkeley MIDS ML courses
Jupyter Book guide providing information about the Berkeley-managed Jupyterhubs and for creating/maintaining the data science curriculum.
Lab solutions for https://sites.google.com/view/deep-rl-bootcamp
A brief introduction to translate economic analysis in Stata into computational, reproducible and interactive notebooks.
Solution to the Deep RL Bootcamp labs from UC Berkeley
UC Berkeley CS70: Discrete Mathematics and Probability Theory, Fall 2021
Personal Deep Reinforcement Learning class notes
Notes from STAT 33B at UC Berkeley in Fall 2020.
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