molson194 / AI-CS188Links
Learned about search problems (A*, CSP, minimax), reinforcement learning, bayes nets, hidden markov models, and machine learning
β131Updated 9 years ago
Alternatives and similar repositories for AI-CS188
Users that are interested in AI-CS188 are comparing it to the libraries listed below
Sorting:
- CS188 Artificial Intelligence @UC Berkeleyβ125Updated 9 years ago
- π₯ Stanford CS221: Artificial Intelligence: Principles and Techniquesβ83Updated 6 years ago
- Introduction to AI course assignment at Berkeley in spring 2019β79Updated 6 years ago
- ζ―ε¦η¦ζ°εΌεζε ¬εΌθ―Ύηε¦δΉ θ΅ζβ146Updated 6 years ago
- Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learningβ57Updated 7 years ago
- AI Pacman, CS188 2019 summer version (Completed), original website:β86Updated 2 weeks ago
- All Coursework from my CS61c (Great Ideas in Computer Architecture / Machine Structures) Course at UC Berkeleyβ93Updated 7 years ago
- Course webpage for PGM, Spring 2019.β76Updated 4 years ago
- πΉοΈ CS234: Reinforcement Learning, Winter 2019 | YouTube videos πβ309Updated 2 years ago
- CS61c Fall 2019 labs and projects' solutions.β25Updated 5 years ago
- Machine Learning repoβ39Updated 2 years ago
- lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"β151Updated 6 years ago
- A repo of my experience of preparing GRE test in 30 days.β172Updated 6 years ago
- Artificial Intelligence project designed by UC Berkeley. Designed game agents for the game Pacman using basic, adversarial and stochasticβ¦β116Updated 9 years ago
- Stanford convex optimization courseβ101Updated 4 years ago
- This repo contains all the learning materials for UC Berkeley's course CS170 : Efficient Algorithms and Intractable Problemsβ96Updated 4 years ago
- Spring 2022 Public Materials and Websiteβ66Updated 2 months ago
- β20Updated 7 years ago
- All you need for MATH5411 Advanced Probability, 2020 Fall, HKUST, Lecturer BAO Zhigang.β56Updated 4 years ago
- Released assignments for the Stanford's CS131 course on Computer Vision.β489Updated 8 months ago
- UCB EECS126 : probability theory and random processes.β137Updated 3 years ago
- η η©Άθ΅ζΊε葨 A curated list of research resourcesβ175Updated 5 years ago
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fraβ¦β142Updated 2 years ago
- CS 61B Data Structures, Spring 2019β17Updated 5 years ago
- Bonus Assignments of Algorithms 4th Edition, by Robert Sedgewick and Kevin Wayneβ69Updated 6 years ago
- My CS231n lecture notesβ212Updated 7 years ago
- Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version β¦β53Updated 5 years ago
- Home work in python using cvxpy to Stephen Boyd's Convex Optimization class (CVX101 Stanford)β45Updated 2 years ago
- Stanford CS106Bβ167Updated 8 years ago
- Carnegie Mellon University 15-213: Introduction to Computer Systems (ICS)β147Updated 8 years ago