zhaoyan1117 / ml_cheatsheetLinks
Cheatsheet for CS189/289 at UC Berkeley
☆16Updated 10 years ago
Alternatives and similar repositories for ml_cheatsheet
Users that are interested in ml_cheatsheet are comparing it to the libraries listed below
Sorting:
- Self Driving Car Decal taught by Machine Learning @ Berkeley, fall 2019 at UC Berkeley.☆10Updated 5 years ago
- A Repository of various cheetsheets/study sheets for various classes in the UC Berkeley EECS department.☆15Updated 8 years ago
- Deep Neural Network course @ UC Berkeley, taken Spring 2019☆10Updated 2 years ago
- self study java, through cs61b (http://www.cs.berkeley.edu/~jrs/61b/)☆10Updated 12 years ago
- intro ML uc berkeley course taken spring 2019 homework backup☆10Updated 5 years ago
- Project solutions for CS188 Artificial Intelligence course☆12Updated 8 years ago
- Course Projects for CS 61B, the data structures class at UC Berkeley, Spring 2014☆10Updated 11 years ago
- Notes for "Introduction to Systems Programming" - 234124 (Technion)☆13Updated 3 years ago
- A collection of course materials, notes and assignments for the Masters of Information and Data Sciences program at UC Berkeley☆13Updated 5 years ago
- Comprehensive, instructor-approved notes for EE 16B at UC Berkeley.☆17Updated 5 years ago
- Pacman AI Projects 1,2,3 - UC Berkeley☆11Updated 2 years ago
- Berkeley Online Advising (BOA)☆11Updated last week
- Get your degree status in the best possible way 🤓☆20Updated 8 months ago
- This is the homework lab and project from CS 61B 2014fall☆11Updated 7 months ago
- Anki decks for Technion courses☆11Updated last year
- Export your Berkeley schedule!☆20Updated 2 years ago
- Deep RL Baselines and homework assignments of UC Berkeley CS 285☆10Updated 3 years ago
- The Berkeley SUMSarizer☆10Updated 7 years ago
- Study Material for Berkeley CS Classes (Mostly cheat sheets)☆10Updated 5 years ago
- Assignments for CS294-112 Deep Reinforcement Learning in UC Berkeley in Fall 2018☆16Updated 6 years ago
- Homework for STAT 210A - Berkeley☆30Updated 10 years ago
- My solutions to CS285 2019 Fall of UC Berkeley☆14Updated 2 years ago
- CS 189 Machine Learning Cheat Sheet☆21Updated 10 years ago
- Materials for EECS 445, an undergraduate Machine Learning course taught at the University of Michigan, Ann Arbor.☆100Updated 8 years ago
- My implementation for Berkeley AI Pacman projects No. 1 and No. 2☆15Updated 6 years ago
- Official Edison Lab toolboxes and scripts for analyzing metabolomics data.☆14Updated 2 years ago
- Python interface for the Berkeley Parser using JPype☆12Updated 9 years ago
- Projects done as part of an online AI course by UC Berkeley.☆10Updated 9 years ago
- Tutorials for GDSO at Berkeley Data Science Workshop☆15Updated 7 years ago
- Quickstart tutorial Prerequisites Before reading this tutorial you should know a bit of Python. If you would like to refresh your memory,…☆11Updated 3 years ago