Build a rudimental NLP on pure statistic model
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Updated
Jun 23, 2024 - Jupyter Notebook
Build a rudimental NLP on pure statistic model
Final Project from the course "Probabilistic Machine Learning" @ Data Science & Scientific Computing, University of Trieste, year 2020/2021, written in ipynb.
R package for Discrete-Time Markov Decision Processes
The implementation of variable iteration and q-learning algorithms using Java programming language. The project was completed by @DavidLeeftink and @mantas-makelis for the Searching, Planning & Machine Learning (SPML) course @radbouduniversity. The framework of the grid world was created by Jered Vroon.
Python3 library for visualizing high dimensional data.
First Reinforcement Learning practical work in my Data Science specialization course.
Code for the paper "Generalized p-Persistent CSMA for Asynchronous Multiple-Packet Reception"
Domain Specific Language of Multi-Agent System Based on both Rules and Neural Networks
I used this project to master c++. I just reimplemented monte carlo tree search agent on the game of hex with cpp.
An Introductory ML Educational Program hosted by the UofT AI Society. Topics include, Data Manipulation, Classification & Regression, Neural Networks, Computer Vision (CNNs), Natural Language Processing (RNNs), Reinforcement Learning (RL), Markov Decision Process (MDP), Genetic Algorithms, Decision Trees, K-means Clustering, Minimax, Hidden Mark…
CZ4046: Intelligent Agents - Assignment 1
An assignment for COMP3702 at UQ. Original problem was a Markov Decision Process. Solved using an implementation of a Monte-Carlo-Tree-Search. Final grade 110/100.
Interpreter of Swarm
Stanford-CS221 class practical's, Assignments and projects
a reinforcement learning agent can play laser hockey
Algorithms for Capacity Constrained Multi-model Markov Decision Processes
SUTD 2021 50.007 Machine Learning Code Dump
Machine-learning application in path finding using the n-step TD(lambda) algorithm
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