AnweshCR7/Captcha_Recognition

Pytorch: Captcha recognition using convolutional RNNs

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dell-datascience/Bank-Customer-Churn-Prediction

Bank Customer Churn Prediction using ANN and H2O Auto ML models

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Priyansu-Bhandari/Flower_and_Plant_Classification_Using_CNN_Model

The Flower and Plant Classification project is a deep learning application that utilizes a CNN model to accurately classify different types of flowers and plants based on their images.

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AvichalS/Text-Classifier-Neural-Network

A Neural network that will classify SMS messages as either "ham" or "spam" using LSTM in a Keras Sequential model with 99.6% accuracy and 1.6% loss.

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Navneet2409/Flower-Classification

The aim of this project is to solve a Supervised Image Classification problem of classifying the flower types - rose, daisy, dandelion, sunflower, & tulip which can predict the class of the flower using the Convolutional Neural Networks (CNN), ResNet50 and transfer learning

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shaimaaK/arabic-sequence-classification-POS

Arabic part of speech tagging using arabic PUD dataset using bidirectioanl LSTM for sequential labeling classification

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asif-kabir-emon/Word-Level-ASL-Sign-Language-Recognition

Word Level ASL Sign Language Recognition System

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devmnj/keras_image_class

Tensor flow image classification

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harshitkd/Fruit-Freshness-Prediction

In this project, I predicted whether fruit is rotten or not using sequential model, ResNet50v2 and VGG16, trained all of them using the Fruit fresh and rotten for classification Kaggle dataset. Got an accuracy of 96.96%, 97.41% and 91.4% respectively. Please see readme for details.

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deepankarvarma/Fire-Detection--OpenCV-Keras-TensorFlow

This repository contains Python code for generating a fire detection model and utilizing it to detect fire from user-uploaded images. The model architecture consists of convolutional and pooling layers, followed by fully connected layers. The repository includes scripts for training the model and predicting fire from uploaded images.

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rcorrero/zulu

Language: Python - Size: 107 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 2

mmalam3/IoTMonitor-Hidden-Markov-Model-Security-System

A Hidden Markov Model (HMM) solution to decode sequential data patterns from an array of sensory symbols (observations). This codebase is developed using Python, Scikit-Learn, and NumPy.

Language: Python - Size: 691 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

antononcube/WL-TriesWithFrequencies-paclet

Wolfram Language (aka Mathematica) paclet with functions for creation and manipulation of tries (prefix trees) with frequencies.

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FirstHandScientist/genhmm

Generative model based HMM model

Language: Python - Size: 138 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 16 - Forks: 3

ComboWave/Engine-Speed-Control

The device detects the difference between the given engine speed and the speed desired by the user.

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R-Aravind/fad-sagemaker-deployment Fork of tentakles-core/fad-sagemaker-deployment

Sagemaker deployment of a pre-trained model for the classification of fake Instagram users.

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Ankit152/Emotions-Detection-NLP

Emotions dataset for NLP classification tasks.

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ShahindaAnwer/Happy-Unhappy

A deep learning model, that distinguishes whether or not a person is ”Happy” or ”Unhappy”

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anantSinghCross/realtime-hand-gesture-recognition

Hand Gesture Recognition using CNNs and Perceptrons in realtime (OpenCV)

Language: Python - Size: 38.6 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 11

harsh-99/Sequential-Data-Loader-and-Model-for-Variable-Length-Data

Data loader and model for variable length data in PyTorch

Language: Python - Size: 16.6 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 10 - Forks: 1

albertusk95/intention-to-code-lstm

Source Code Generation Based On User Intention Using LSTM Networks

Language: Python - Size: 2.17 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 17 - Forks: 3

inboxpraveen/Skin-cancer-lesion-detection

This repository contains skin cancer lesion detection models. These are trained on a sequential and a custom ResNet model

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1122coder/Coursera_assign_02

CNN on Mnist digits dataset. Assignment 02 of Coursera.

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afsaraali/Wind-Farm-Forecasting

Forecasting wind farm energy output predictions

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mohd-faizy/TF01_Introduction-to-TensorFlow-for-AI-ML-and-DL

TensorFlow for building basic neural network for computer vision and use convolutions to improve your neural network.

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krzpiesiewicz/timeseries-pytorch

timeseries-pytorch is an extension to timeseries package. It provides facades for pytorch models and datasets.

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abs-sayem/deep_learning

Design Deep Learning Models

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Ankit152/TrafficSignal

A deep learning model to classify Traffic Signals.

Language: Python - Size: 4.78 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

starkjones/NYC-Condominium-Rental-Income-Analysis

Predicting condominium rental income using comparable units and various models

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starkjones/Neural-Networks

Employing Sequential Modeling and Confusion Matrices to predict Heart Disease

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starkjones/House-Prices-Advanced-RegressionKaggle-Exercise

Predicting housing prices using feature engineering and XGBoost and Sequential Modeling Models

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Mehmet3793/Capstone-Project

This Repository contains the most important parts of my Capstone Project. The project was to build and then compare the performance of traditional ML Algorithms to Deep Learning Algorithms on text data. I learned a lot about Natural Language Processing. Compiled all my findings in a 30-page report as well as my power point presentation.

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aastopher/NN_SHAP_Exploration

Exploration of SHAP visualisations with Keras Multi Layered Perceptron (MLP), Classifiers, and Regresors using seaborn datasets.

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storytellingengineer/Devanagri_Character_Recognition

Used Keras models to predict Devanagri Characters with accuracy of 97.95 %

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aLPHAClASHEr/Disease-predictor-Neural-nets

It predicts whether the patient has Heart Disease or not

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crynom/crypto_factor_model

does technical analysis n stuff

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FrozenWolf-Cyber/RNN-LSTM-GRU-Comparison

We are trying to compare train losses, training time, and model convergence for RNN , LSTM, and GRU models using sin(x) graph in CPU and GPU

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doslim/Fundamentals-and-Applications-of-Deep-Learning

Fundamentals and Applications of Deep Learning

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Gallo13/NeuralNetworks-DeepLearning-Classification-Prediction-with-DL-Multilayered-Perceptron

Multi Layered Perceptron (Assignment 2)

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Anhad-Shrivastava/Deep-Learning-Specialization

All my programming Assignments from Deep Learning Specialization Course by DeepLearning.ai

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joyeetadey/Violence-Detection-From-Videos

realtime violence detection from videos using cnn-lstm model

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ManjinderSingh3/Loan-Repayment-Prediction-using-AWS-Sagemaker

AWS Sagemaker service was used to build, train and deploy Artificial Neural Network on AWS cloud. Created S3 bucket to store dataset and trained model.

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prs98/Vehicle-Performance-Optimization

Designed a greedy algorithm based on Markov sequential decision-making process in MATLAB/Python to optimize using Gurobi solver, the wheel size, gear shifting sequence by modeling drivetrain constraints to achieve maximum laps in a race with a 2-hour time window.

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atarax665/CAPTCHAred

A sequential machine learning model to predict captchas.

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achhina/face-mask-detection

Real time Face Mask Detection using Deep Learning & Machine Learning to recognize whether an individual is wearing a face mask or not. This was then used in conjunction with OpenCV facial recognition deep learning model to detect all faces and pass them to our Face Mask model for an assessment.

Language: Python - Size: 103 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

AshishBodhankar/MNIST_classification_Tensorflow_no_keras

Understanding the performance of different neural network architectures on the MNIST handwritten digits dataset, implemented in Tensorflow.

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copev313/Chatbot-Using-Deep-Learning

We build a chatbot by implementing machine learning and natural language processing.

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JanSafronov/WPFTables

WPF desktop application equipped with table management and calculation of values and transformation of data and import of various table formats

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saakethj/Apparel-Classifier

Apparel Classifier is a neural network model that classifies grayscale images of size (28X28)pixels and provides which category of clothing like shirts, T-shirts, Handbags e.tc.

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Rajil101/Breast-Cancer-Detection

Breast Cancer Detection using Deep Neural Network: In these project I worked on sklearn datasets and predicted "Malignant" or "Benign" on breast cancer dataset with 94% Accuracy.

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cordero-c-perez/Deep-Learning

This repository houses an ongoing series of small projects exploring Deep Learning models/implementations. The file descriptions below include the link to the markdown file and a small description of the implementation.

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lovesaroha/lnn

This is a generalized neural network package with clean and transparent API for the Go language.

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lovesaroha/lnn.js

This is a generalized neural network package with clean and transparent API for the javascript.

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mntalha/Data_Augmentation

Find optimum ways in terms of simplicity in Data Augmentation

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iafarhan/image-captioning-transduction-models

We implement an encoder-decoder architecture using CNNs and sequential models to general image captions

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faniabdullah/Machine-Learning-for-Beginners

hello, this is my training directory on the "Machine Learning for Beginners" course at DICODING INDONESIA

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HaifaNajdawi/machine_learning_models

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hazmicokro/Time-Series-Predictions-using-Bidirectional-LSTM

Submission 2 - Time Series - Belajar Pengembangan Machine Learning - Dicoding

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BatuhanAktan/RespiratoryIllnessDetectionUsingML

In the current state of healthcare many hospitals are working over their capacity, and our group wanted to help fix this issue, we used machine learning to diagnose a healthy lung X-ray from a sick one.

Language: Python - Size: 85.3 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

whiteRa2bit/coursework

"Sequential recommender models" 3rd year coursework at Higher School of Economics

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AwaleRohin/Stock-Price-Prediction

Simple Stock Price Prediction of Apple using Sequential Model and LSTM & Dense Layers with past 60 days data.

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sukhdev01/Hand-written-digit-classifier

The code is written in python language with necessary libraries and comments are there for every step to understand it better.

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alonestreak/doodle-classifier

CNN model to identify the doodle drawn on the canvas or uploaded by the user. the model will try to predict the class of the image out of sun, moon, rainbow, cloud, and star. model is trained on approximately 100000+ images of each class.

Language: Python - Size: 3.81 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

shreyanshchordia/pos-tagging-using-sequential-networks

Part Of Speech Tagging Using Sequential Models. Recurrent Neural Networks. 96% Accuracy

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oziomek1/neural_network_dice

Notebooks with various models for images recognition based on dices example

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RonakMehta21/Multilayer-Perceptron-in-Keras

MLP in Keras

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anantSinghCross/handwritten-digit-recognition

Training and Deployment Neural Networks model (using keras) to recognize handwritten digits

Language: Python - Size: 4.48 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 1

ParvaShah/Keras-Sequential-Model

Implementation of Sequential model using Keras. Obtained an accuracy of 91.96% on dataset.

Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0