A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
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Updated
Aug 31, 2020 - Scheme
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A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
Incremental learning of word embeddings with context informativeness.
Bayesian Network Modeling and Analysis
Tic Tac Toe Machine Learning
Deep Learning From Scratch
TiMBL implements several memory-based learning algorithms.
Risk Network Modeling and Analysis
C# implementation of the various algorithms based on Genetic Algorithm, Genetic Programming and Artificial Neural Networks.
A simple perceptron in Golang
Learning with operator-valued kernels
Game Playing with various AI and Machine Learning techniques
Studying collective memories of internet users using Wikipedia viewership statistics
Algovis, a simple way of learning algorithms through visualizations
UzunExt Framework is an efficient and effective web content extractor.
Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing
Hidden Structure Suite
Board-and-card games are those which involve higher level of uncertainty as it includes the probability of getting the right card and the moves made by other players. We look to model such games as Markov Games and find an optimal policy through the Minimax – Q algorithm. This will also be a test for the Minimax – Q algorithm to check how it performs in a situation with multiple goal states.
A stubborn, fuzzy learning engine that can be trained but prefers to learn on its own.
ROS based Robot assembler for factories.
My work connected with algorithms/ data structures & design patterns
Implementation of Mealy machine learning algorithm and its extension
Replicated Focusing Belief Propagation algorithm
This is a standalone version of NEAT learning algorithm that was used for gait learning in tol-revolve.
Replication of simulations and results from Hinton and Nowlan (1987) "How learning can guide evolution", Complex Systems, 1 (3), 495-502
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A chess BoardState class needs to exist for BlackBird to learn the game.
The class should inherit from GameState, and override all functions.