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)
Deep-learning inversion: A next-generation seismic velocity model building method
Train Large Language Models on MLX.
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 and experiments for autonomous agents (e.g., language models, reinforcement learning, energy based models)
TFM - Análisis de sentimientos en Twitter
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.
Machine Learning for Trading
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.
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…
Senior design project titled "Keyword Search for Sign Language" for the Special Project (EE 491-492) courses offered by Boğaziçi University.
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.
Quantum Machine Learning
Link Prediction in Co-authorship dataset
Python Implementation of Various Machine Learning Algorithms 🤖 🧠
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