Code for reproducing Manifold Mixup results (ICML 2019)
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Updated
Mar 31, 2024 - Python
Code for reproducing Manifold Mixup results (ICML 2019)
Train Large Language Models on MLX.
Deep-learning inversion: A next-generation seismic velocity model building method
Repository For Codes And Concept Taught in Udemy Course
MQT Predictor - A Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing
🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.
An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms
Python 3.7 version of David Barber's MATLAB BRMLtoolbox
👾 resources for DeSci + AI experiments: notes, ml, agents, llms, energy based models...
Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.
TFM - Análisis de sentimientos en Twitter
Machine Learning for Trading
Senior design project titled "Keyword Search for Sign Language" for the Special Project (EE 491-492) courses offered by Boğaziçi University.
This is a supervised Recurrent Neural Network (RNN) learning project treating stock trading as a classification problem. Given input of a 60 day window of pricing data, choose the best action for maximum profit. This uses my earlier https://github.com/TimRivoli/Stock-Price-Trade-Analyzer project for a trading environment, and its SeriesPredictio…
Fuzzy cognitive maps python library
Senior design project titled "Keyword Search for Sign Language" for the Special Project (EE 491-492) courses offered by Boğaziçi University.
A simple ConvNext model for 2D or 3D image classification using NIfTI files
An easy to read and Object Oriented implementation of a simple Neural Network using back-propagation and hidden layers, applied on a basic image classification problem.
An algorithm for the popular social deduction game Avalon. In a game based on social deduction, visual cues, deception, and unpredictability, can a minions intent be revealed by careful objective analysis? Currently developing a neural network via Tensorflow. Input teams, player votes, and mission outcomes, and recieve a dynamic probability asse…
Quantum Machine Learning
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