Alternatives and similar repositories for Intro-to-AI-course:

Users that are interested in Intro-to-AI-course are comparing it to the libraries listed below

• lzervos / Berkeley_AI-Pacman_Projects
  Solution to some Pacman projects of Berkeley AI course
  ☆9Updated 6 years ago
• PointerFLY / Pacman-AI
  UC Berkeley AI Pac-Man game solution
  ☆19Updated 4 years ago
• Dhanush123 / cs182
  Deep Neural Network course @ UC Berkeley, taken Spring 2019
  ☆10Updated 2 years ago
• iliasmentz / Berkeley-CS-188-AI-Pacman
  My implementation for Berkeley AI Pacman projects No. 1 and No. 2
  ☆15Updated 5 years ago
• YKeanoe / AIpacman
  UC Berkeley Pacman Project
  ☆21Updated 7 years ago
• willtholke / CS61B
  Notes for UC Berkeley's Fall 2021 section of CS 61B
  ☆10Updated 3 years ago
• rsk2327 / CS188x_1-Artificial-Intelligence-Berkeley
  Project solutions for CS188 Artificial Intelligence course
  ☆11Updated 7 years ago
• vipul105 / Distributed-k-Means
  This is a python implementation of "Distributed k-Means and k-Median Clustering on General Topologies" by Maria Florina Balcan et al. (ht…
  ☆13Updated 6 years ago
• hduongtrong / ST205A
  Homework for STAT 205A - Berkeley
  ☆11Updated 10 years ago
• adityajn105 / SVM-From-Scratch
  An Implementation of SVM - Support Vector Machines using Linear Kernel. This is just for understanding of SVM and its algorithm.
  ☆48Updated 6 years ago
• dimun / pate_torch
  Implementation of PATE technique described in https://arxiv.org/pdf/1610.05755.pdf
  ☆9Updated 5 years ago
• mohammadasghari / UC-Berkeley-CS-294-Deep-RL
  Implementation of Deep RL Algorithms for UC Berkeley's CS 294-112 (Fall 2018): Deep Reinforcement Learning
  ☆20Updated 5 years ago
• kevko2020 / Study-Material
  Study Material for Berkeley CS Classes (Mostly cheat sheets)
  ☆8Updated 4 years ago
• tallamjr / barberbook
  Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book
  ☆18Updated 3 years ago
• KuNyaa / berkeleydeeprlcourse-homework-pytorch-solution
  Solutions for CS294-112 Fall2018 assignments in Pytorch
  ☆19Updated 6 years ago
• MaviccPRP / svm
  Tutorial: Support Vector Machine from scratch using Python3
  ☆37Updated 7 years ago
• BY571 / Medium_Code_Examples
  Implementation of fundamental concepts and algorithms for reinforcement learning
  ☆15Updated 4 years ago
• MonicaGS / Machine-Learning-A-Z
  Machine learning A-Z course from Udemy
  ☆40Updated 6 years ago
• PetropoulakisPanagiotis / pacman-projects
  Solutions of 1 and 2 Pacman projects of Berkeley AI course
  ☆30Updated 4 years ago
• kushagra06 / CS221_AI
  🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques
  ☆73Updated 6 years ago
• karlapalem / UC-Berkeley-AI-Pacman-Project
  Artificial Intelligence project designed by UC Berkeley. Designed game agents for the game Pacman using basic, adversarial and stochastic…
  ☆97Updated 8 years ago
• khanhnamle1994 / deep-reinforcement-learning
  Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning
  ☆56Updated 6 years ago
• HaleTom / reinforcement_learning_specialisation_notes
  Notes from Reinforcement Learning Specialisaiton
  ☆8Updated 3 years ago
• prob140 / prob140
  A Berkeley library for probability theory.
  ☆14Updated 2 weeks ago
• shenghuanjie / CS189-2018Spring-HW
  Introduction to Machine Learning (2018 Spring) homework solution
  ☆14Updated 5 years ago
• miaog / LOGICAL-PLANNING-AGENT
  Pacman agent will logically plan his way to the goal
  ☆9Updated 8 years ago
• zhiranchen / CMU11785-Deep-Learning
  Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version …
  ☆42Updated 4 years ago
• kkelchte / task_free_continual_learning
  This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.
  ☆13Updated 5 years ago
• MLWhiz / Spark_Projects
  Spark Projects for the Berkeley Data Science Course
  ☆11Updated 9 years ago