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cs 188 project number 1
Implemented various AI algorithms in Pac-Man projects developed by UC Berkeley. Implemented informed/blind state-space search using search algorithms like BFS, DFS, UCS and A* algorithm with heuristic calculation. Designed an algorithm for reflex agent, minimax and alpha-beta pruning. Reinforcement Learning using MDP (Value Iteration and Policy Evaluation) - Implemented Markov Decision process using Value iteration in the Pacman World. Designed perceptron classifier for data classification. Developed applications using python. http://ai.berkeley.edu/project_overview.html
A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.
Berkeley AI Pacman Project for developing search agents to play Pacman
Collection of Programming, Databases, Linux & Tools Books
A modern, full-featured, highly extensible and easier-to-use Java 8+ Framework for Cloud Computing Simulation β οΈπ
Borg cluster traces from Google
Everything you need to know to publish using LaTeX or Word.
Implementation of Erdos-Renyi and Watts-Strogatz in randomly generated graphs
A Java program that generates Erdos-Renyi graphs using adjacency matrices to store data about edges. Computes the probability of a graph surpassing a threshold for longest path possible.
Edge server, user dataset for Edge Computing research
Google Hashcode 2017, team Minor Thing (rank 175)
Optimization of Offloading Scheme Algorithm for Large Number of Tasks in Mobile-Edge Computing
Computation offloading framework for mobile devices using CloudSim
Models and examples built with TensorFlow
A computational offloading simulation scenario using CloudSim Plus tools.
Solutions to some of Berkeley's The Pac-Man AI Projects
Processing mode and core library to create Android apps with Processing
A python utility based on networkx to generate random graphs as edge lists
A semi-online Computational Offloading Model, which utilizes usersβ behavior prediction method to optimize task offloading in edge computing environments.
Simulation code for multi-user offloading in edge computing newtorks
This project is made to work on Time-series data and build a ML model to predict QCI. The data used is MAC, RRC and PDCP information gathered from a moving UE in 5G technology.
This repository contains the implementation codes of deep reinforcement learning (DRL) in user association and resource allocation in heterogenous networks. The model is basd on deep-Q-network (DQN) and DDQN.
Fraunhofer Versatile Video Decoder (VVdeC)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.