A bot for Ultimate Tic-Tac-Toe game on http://theaigames.com/ and http://pub.theaigames.com/competitions/ultimate-tic-tac-toe
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Updated
Jun 6, 2016 - Java
A bot for Ultimate Tic-Tac-Toe game on http://theaigames.com/ and http://pub.theaigames.com/competitions/ultimate-tic-tac-toe
Minmax (minimax) algorithm with Alpha-Beta (𝛼−𝛽, ab) Pruning optimization for the Checkers (Draughts) game in Python 3. Same minimax algorithm works for chess, tic tac toe or similar games.
CPT_S 570 Machine Learning
The objective of this project is to understand and implement the most commonly used Tree-pruning methods, Pre-pruning and Post-pruning.
Code of the paper "Evolutionary convolutional neural network for efficient brain tumor segmentation and overall survival prediction
Pytorch optimizer for nonsmooth, nonconvex, sparsity inducing, regularizers
Homework for Graduate Deep Learning Course
Supervised Machine Learning Analysis Using Classification Models
This repository contains scripts to prune Wav2vec2 using a neuroevolution-based method. More details about this method can be found in the paper Compressing Wav2vec2 for Embedded Applications.
Some DNN model optimization experiments and notebooks
DenseNet & Resnet as Backbone to Perform Lahan Gambut Classification with Self-Attention Pruning Mechanism
leverage decision tree-based models for predicting credit approval.
Frequency Based Pruning (FBP) is a feature selection algorithm based upon maximizing the Youden J statistic. FBP intelligently enumerates through combinations of features, using the frequency of smaller patterns to prune away large regions of the solution space.
A collection of multiple projects involving tasks such as classification, time series forecasting , regression etc. on a number of datasets using different machine learning algorithms such as random forest, SVM, Naive Bayes, Ensemble, perceptron etc in addition to data cleaning and preparation.
IISc/CSA E0-294: Systems for Machine learning - Course project on employing causal insights in DNN model pruning and performance
Pneumo.ai is a Streamlit web app for detecting pneumonia from X-rays, leveraging CNN variants like AlexNet, VGG, and ResNet18, with ResNet18 leading with an accuracy of 0.89. It employs early stopping callbacks for efficient model training, visualizes training using TensorBoard, and optimizes inference time with pruning and quantization techniques.
AI agent capable of solving large instances of pipe puzzles. Project for Artificial Intelligence class.
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