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vikasverma1077 / manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)

deep-neural-networks deep-learning pytorch supervised-learning regularization data-augumentation supervised-machine-learning icml2019

Updated Mar 31, 2024
Python

YangFangShu / FCNVMB-Deep-learning-based-seismic-velocity-model-building

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Deep-learning inversion: A next-generation seismic velocity model building method

deep-neural-networks deep-learning velocity-models supervised-machine-learning seismic-inversion

Updated Aug 28, 2022
Python

Ashleshk / Machine-Learning-A-Z-hands-on-Python-And-R-in-data-Science

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Repository For Codes And Concept Taught in Udemy Course

machine-learning natural-language-processing deep-neural-networks reinforcement-learning deep-learning random-forest clustering cnn rnn ann clustering-algorithm supervised-machine-learning unsupervised-machine-learning eclat decison-trees apiori

Updated Jul 2, 2021
Python

OSSpk / Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM

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🏆 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.

svm machine-learning-algorithms mnist-dataset logistic-regression support-vector-machines knn artificial-neural-network handwritten-digit-recognition k-nearest-neighbours supervised-machine-learning support-vector-classifier perceptron-learning-algorithm sigmoid-function delta-rule mnist-classification-logistic comparative-study multiclass-perceptron learning-algorithms-comparison accuracy-analysis efficiency-analysis

Updated Jan 17, 2021
Python

cda-tum / mqt-predictor

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MQT Predictor - A MQT tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

reinforcement-learning quantum-circuit supervised-machine-learning quantum-compiler

Updated Jul 10, 2024
Python

ExcViral / adaptive-forex-forecast

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An adaptive model for prediction of one day ahead foreign currency exchange rates using machine learning algorithms

machine-learning machine-learning-algorithms trading-bot prediction adaptive-learning predictive-modeling predictive-analytics adaptive-filtering forex-trading forex-prediction supervised-machine-learning forecasting-model

Updated Sep 9, 2018
Python

MauroCE / PythonBRMLtoolbox

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Python 3.7 version of David Barber's MATLAB BRMLtoolbox

machine-learning statistics matlab bayesian-network bayesian-methods model-selection supervised-learning bayesian graphical-models bayesian-inference bayesian-networks bayesian-optimization bayesian-data-analysis bayesian-statistics bayesian-analysis bayesian-neural-networks markov-networks supervised-machine-learning supervised-learning-algorithms statistics-toolbox

Updated Aug 18, 2018
Python

jcsobrino / TFM-Analisis_sentimientos_Twitter-UOC

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TFM - Análisis de sentimientos en Twitter

machine-learning natural-language-processing twitter supervised-machine-learning

Updated Jun 25, 2018
Python

ahmedhamdi96 / ML4T

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Machine Learning for Trading

data-science machine-learning thesis stock forecast lstm stock-price-prediction keras-tensorflow stock-analysis supervised-machine-learning

Updated Jul 25, 2018
Python

Hameem1 / Step-Detection-using-Machine-Learning

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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.

python machine-learning random-forest scikit-learn data-visualization feature-selection feature-extraction classification supervised-machine-learning model-training step-detection gait-analysis rfe rfecv data-pre-processing step-counting model-testing

Updated Dec 8, 2022
Python

J41R0 / PyFCM

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Fuzzy cognitive maps python library

python library simulation artificial-neural-networks data-mining-algorithms supervised-machine-learning fuzzy-cognitive-maps fuzzy-clustering

Updated Jan 14, 2022
Python

go-outside-labs / ml-ai-agents-py

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👾 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗱𝗲𝗲𝗽 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗽𝗹𝘂𝘀 𝘀𝗼𝗺𝗲 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀

rust machine-learning reinforcement-learning deep-learning markov-chain openai supervised-machine-learning quantum-ai gpt-3 chatgpt embs

Updated Mar 18, 2024
Python

TimRivoli / RobotTrader

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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…

python trading-bot recurrent-neural-networks supervised-learning trading-strategies stock-trading supervised-machine-learning

Updated Jul 19, 2020
Python

DubiousCactus / Amygdala

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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.