GitHub topics: epochs
38832/potato_disease_classification
A TensorFlow-based project for classifying images with a CNN. Includes data preprocessing, model training, evaluation, and visualization of results.
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shoaib1522/Credit-Card-Fraud-Analysis
"A comprehensive project on Credit Card Fraud Detection combining Exploratory Data Analysis, Machine Learning, and an interactive Streamlit web app for real-world applicability."
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DouweHorsthuis/EEG_to_ERP_pipeline_stats_R
General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)
Language: MATLAB - Size: 10.5 MB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 12 - Forks: 4
smykes/geo-time-scale-lambda
A tool to print the eon, era, period, epoch, and age of a given positive whole number.
Language: TypeScript - Size: 12.7 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
JuliaSpaceMissionDesign/Tempo.jl
Efficient Astronomical Time transformations in Julia.
Language: Julia - Size: 938 KB - Last synced at: 9 days ago - Pushed at: 9 months ago - Stars: 14 - Forks: 1
Data-Science-Community-SRM/Hand-Gesture-Recognition-Rock-Paper-Scissor
Hand Gesture Recognition and Modification was based on transfer learning Inception v3 model using Keras with Tensorflow backend trained on 4 classes - rock, paper, scissors, and nothing hand signs. The final trained model resulted in an accuracy of 97.05%. The model was deployed using Streamlit on Heroku Paas.
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krishcy25/NeuralNetwork-ModelBuilding-with-Keras-and-TensorFlowBackend
This repository focuses on building several versions of Deep Learning Neural Network Models (Sequential Model, Model with increase in hidden layers, Model with Regularization to avoid overfitting) with Keras that uses TensorFlow Back end.
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AnuragAnalog/Recognize-Hand-Written-Digits
Machine Learning and Neural Network techniques to recognize handwritten digits with high accuracy
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anjanchowdhury/Image-Caption-Generator
Image caption generator project is automatically describes images with coherent and relevant textual captions.
Language: Python - Size: 592 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
jmarihawkins/neural-network-challenge-2
The purpose of this project is to develop a machine learning model that predicts employee attrition (whether an employee will leave the company) and department assignment (which department an employee belongs to) based on various factors. These factors include age, travel frequency, education level, job satisfaction, marital status, and more.
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elmahsieh/LogisticRegressionTraining
This project involves training a machine learning model and plotting its learning curves to analyze training and testing accuracies, utilizing Java for model execution and Python for data visualization. It includes commands for compiling and running the Java program, generating plots, and sending results via email.
Language: Java - Size: 33.2 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
saikrishnabudi/Artificial-Neural-Network
Artificial Neural Network using PyTorch & Keras Libraries
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saikrishnabudi/PyTorch-ANN-Model
PyTorch Library on Artificial Neural Network Model
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persistenceOne/persistence-sdk
Node modules and client utilities to build Persistence platform node applications.
Language: Go - Size: 5.53 MB - Last synced at: 10 months ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 4
rohank07/CNN-Donald-Trump
Machine Learning -CNN
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AshishKempwad/Tom-and-Jerry-Emotion-Detection-Challenge
The predicts the emotion of the characters from image provided.
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rupakreddy11/Traffic-Sign-Recognition
Traffic sign recognition using CNN
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Aypak/tf_gan_handwritten_digits
A Generative Adversarial Network (GAN) that generates handwritten digits(0 to 9). Uses mnist dataset. Written in R
Language: R - Size: 56.6 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
Scorepochs-tools/scorepochs_mat
Scorepochs: a computer aided scoring tool for resting-state M/EEG epochs
Language: MATLAB - Size: 2.26 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
Scorepochs-tools/scorepochs_py
scorEpochs: a computer aided scoring tool for resting-state M/EEG epochs
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Scorepochs-tools/Scorepochs-tools
Scorepochs: a computer aided scoring tool for resting-state M/EEG epochs
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Anne-Andresen/EEG-processing
EEG data collection and processing in matlab. Proposed data collection algorithm and Processing pipeline for evoked potentials of EEG signals or regular EEG signals. Furthermore
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mivinmathew/CNNImageClassifier
Using Convolutional Neural Networks to create image classifiers [ cats + dogs & cats + dogs + lions + tigers ]
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MoinDalvs/Neural_Networks_Forest_Fire_Classification
PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS
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manishthilagar/Estimating-evoked-responses-of-EEG-using-MNE-python
Estimating evoked responses
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mychele-larson/Deep_Learning_Challenge
Module 21 Challenge
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abidor13/Neural_Network_Charity_Analysis
Neural_Network_Charity_Analysis
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gabrieldim/Baby-Health-Data-Science
Baby Health model made in Python.
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fitushar/Cyclical-Learning-Rates-for-Training-Neural-Networks-With-Unbalanced-Data-Sets
As the learning rate is one of the most important hyper-parameters to tune for training convolutional neural networks. In this paper, a powerful technique to select a range of learning rates for a neural network that named cyclical learning rate was implemented with two different skewness degrees. It is an approach to adjust where the value is cycled between a lower bound and upper bound. CLR policies are computationally simpler and can avoid the computational expense of fine tuning with fixed learning rate. It is clearly shown that changing the learning rate during the training phase provides by far better results than fixed values with similar or even smaller number of epochs.
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ajaybiswas22/Neural-Network-Logic-Gates
This repository provides the Implementation of logic gates using neural networks.
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TrentBrunson/Neural_Networks
TensorFlow 2.2, Keras, Deep Learning
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Ishan-Kotian/Nerual-Network_Image-Data
A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. In this sense, neural networks refer to systems of neurons, either organic or artificial in nature. Neural networks can adapt to changing input; so the network generates the best possible result without needing to redesign the output criteria.
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ihartb/Perceptron
Image classification algorithm
Language: Python - Size: 20.2 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
krishnadevz/image-classification-and-manipulation-in-python-machine-learning
image classification and manipulation in python machine learning on fashion mnist dataset
Language: Jupyter Notebook - Size: 2.91 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 1
