thag0/JNN

Biblioteca para manipulação de modelos de Redes Neurais inteiramente em Java

Language: Java - Size: 225 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 4 - Forks: 1

alx-sch/STRIKE_A_POSE

A videogame that uses body pose classification via a webcam feed to engage players in an interactive experience.

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google/vae-seq 📦

Variational Auto-Encoders in a Sequential Setting.

Language: Python - Size: 232 KB - Last synced at: 1 day ago - Pushed at: over 7 years ago - Stars: 177 - Forks: 32

pmixer/SASRec.pytorch

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

Language: TeX - Size: 19.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 475 - Forks: 112

seif-007/Quantum_Long_Short_Term_Memory

This repository features a Quantum Long Short-Term Memory (QLSTM) model for time-series forecasting using quantum circuits. It provides a custom QLSTMCell and supports real-time loss tracking, making it ideal for research and experimentation. 🛠️🌌

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stared/keras-sequential-ascii

ASCII summary for simple sequential models in Keras

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NishantkSingh0/Predictive-Models

It include Classification & Regression models trained on Huge kaggle datasets

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arachnocid/Cryptocurrency-Prediction-Model

A neural network model for predicting cryptocurrency prices using machine learning and time series analysis techniques.

Language: Python - Size: 292 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

wmkouw/ssa-nlp

Sequential subspace alignment for temporal domain adaptation in natural language processing

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LindaSekhoasha/COMP703-AI

Project in Sequential Modelling

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EvanGks/shakespeare-text-generation-transformer

A comprehensive, from-scratch implementation of the Transformer architecture for Shakespearean text generation using TensorFlow and following the "Attention Is All You Need" paper (Vaswani et al., 2017). Includes custom training pipeline, data augmentation, and advanced text generation techniques.

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Thartvigsen/thartvigsen.github.io

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CaptainE/RNN-LSTM-in-numpy

Building a RNN and LSTM from scratch with NumPy.

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Huzyy/Sequential-Learning-Neural-Networks

Implementing Sequential Learning, specifically RNN and LSTM algorithms using TensorFlow/Keras to compare the different algorithms for sequence learning. Comparison analysis of a simple RNN and LSTM.

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ycchen1989/Quantum_Long_Short_Term_Memory

Implementation of Quantum Long Short-term Memory (QLSTM)

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Rainaa111/Plant_disease_detection_and_classification

A project regarding the detection and classification of various diseases affecting plants and crops grown substantially in India, using machine learning and opencv.

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RecSysEvaluation/SIGIR2022-2024-reproducibility-audit

“We share our code online: Why this is not enough to ensure reproducibility and progress in recommender systems research

Size: 1.89 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

RecSysEvaluation/RecSys_Evaluation

Revisiting the Performance of GNN Models for Session-based Recommendation

Language: Python - Size: 318 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

pmixer/TiSASRec.pytorch

https://github.com/JiachengLi1995/TiSASRec in PyTorch

Language: Python - Size: 6.73 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 89 - Forks: 17

Dishant27/Image-Classification

This is Image Classification/recognition project where Tensorflow and Keras are used along with Convolutional Neural Network.

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TrainingByPackt/Applied-Deep-Learning-with-Keras

Solve complex real-life problems with the simplicity of Keras

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Niteshchawla/Logistics-NN-Regression

The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.

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liuqidong07/LLMEmb

[AAAI'25 Oral] The official implementation code of LLMEmb

Language: Python - Size: 92.8 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 23 - Forks: 6

hillalhar/telco-customer-churn

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PrincySinghal/Document-classification-and-Data-extraction

Splitting and classifying documents from a pdf or image consisting of 5 classes of documents like Aadhar card,Pan etc followed by information retrieval from each document.

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ArtZaragozaGitHub/CV--P5_Plants_Seedling_Classification

A robust image classifier using CNNs to efficiently classify different plant seedlings and weeds to improve crop yields and minimize the extensive human effort to do this manually.

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ayush1999/Keras.jl

Run keras models with a Flux backend

Language: Julia - Size: 18 MB - Last synced at: 7 months ago - Pushed at: over 7 years ago - Stars: 21 - Forks: 3

astroarth/AI_use_cases

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LuluW8071/Text-Sentiment-Analysis

Text Sentiment Analysis with RNNs Models + Additive Attention and Transformers

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stardust-88/Variational_Recurrent_Neural_Network

Implemented this novel architecture (in pytorch) as part of my research study for the problem I focused on, during my work as a Research Intern at Language Technology Research Center, IIIT Hyderabad, India.

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ukangrui/Better-SASRec

cleaned-up and optimized for SASRec, Pytorch Implementation

Language: Python - Size: 19.8 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

EPSOFT/layers

layers

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Pavansomisetty21/MNIST-Classification-using-Keras-MLP-Sequential-

Language: Jupyter Notebook - Size: 122 KB - Last synced at: 9 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

hallowshaw/Text-Emotion-Classification-Using-LSTM-and-Tokenization

This repository provides a machine learning and deep learning pipeline for text emotion detection. It includes a pretrained LSTM model, tokenizer, and preprocessing steps to classify emotions such as joy, sadness, and anger from text input. Easily deployable with provided resources and scripts.

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petar-ceho/rnn-numpy

many-to-one Recurrent Neural Network (RNN) + LSTM + Autoencoders in numpy.

Language: Python - Size: 147 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Jithsaavvy/Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-project

This research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and proposing the best-fit method that generates explanations for a deep neural network. The proposed approach is used specifically for explaining LSTM networks for anomaly detection task in time-series data (satellite telemetry data).

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rupashi03/Stock-Price-Prediction-LSTM

This project predicts the prices of five selected stocks using LSTM model, leveraging historical data and time-series analysis techniques.

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YifanZhou95/Translation-based-Recommendation

Sequential recommendation algorithm

Language: Python - Size: 28.9 MB - Last synced at: 3 months ago - Pushed at: almost 7 years ago - Stars: 28 - Forks: 9

Amir-Tav/GANN-with-TensorFlow

How to build, train, and evaluate a Generative Adversarial Network (GAN) for generating fashion images. The project covers all essential steps, from model building to training and evaluation.

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FrozenAssassine/VoiceAssistant

A german voice assistant using Keras

Language: PureBasic - Size: 81.6 MB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

vigneswaran-chandrasekaran/Flipflop_experiments

Experiments with Flip flop networks on a variety of tasks to check and showcase its generalization abilities

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fleverest/elections.dtree

Perform ballot-polling Bayesian audits for ranked voting elections using a Dirichlet-tree prior distribution.

Language: C++ - Size: 31.7 MB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 3

gaizkiaadeline/Rock-Paper-Scissor-Image-Classification

This image classification project focuses on classifying images of rock, paper, and scissors gestures using machine learning techniques. The model achieved an impressive validation accuracy of 98.86%, indicating its effectiveness in accurately classifying hand gestures.

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kunalPisolkar24/ML_Lab

Collection of practical codes for Savitribai Phule Pune University's Machine Learning Laboratory (410246).

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beomso0/ezSASRec

An easy and efficient tool to build sequential recommendation system utilizing SASRec

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Chirag6525/House-Rent-Prediction

The rent of a house depends on a lot of factors. With appropriate data and Machine Learning techniques, many real estate platforms find the housing options according to the customer’s budget.

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DyGRec/DT4SR

Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https://arxiv.org/abs/2106.06165

Language: Python - Size: 7.82 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 2

harmanveer-2546/Retinal-Disease-Classification

The number of visually impaired people worldwide is estimated to be 2.2 billion, of whom at least 1 billion have a vision impairment that could have been prevented or is yet to be addressed. Early detection and diagnosis of ocular pathologies would enable forestall of visual impairment.

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dscolby/Whiteboard

A virtual whiteboard so I don't forget the ideas that come to me

Size: 31.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

suchisubhrajana/Flower_Image_Classifier

Image Classification CNN Model created by Suchi Subhra Jana and Subhroneel Sarkar. This model is made using python. It can detect flower categories based on specified collection of datasets.

Language: Jupyter Notebook - Size: 8.58 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ishreya09/Digit-recognition-model

I have used Mnist digit classification dataset. The model is trained on 60,000 images of 28*28 using RNN. The model accuracy is 97.39 with a loss of 0.099

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Sasi-005/Reviews-classification-Sentiment-analysis-

Train a model using LSTM(Long short-term memory) to classify whether hotel reviews are positive or negative

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Sasi-008/Reviews-classification-Sentiment-analysis

Train a model using LSTM(Long short-term memory) to classify whether hotel reviews are positive or negative

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harmanveer-2546/Diagnosis-Of-Pneumonia-By-CNN-Classifier

The primary objective s to develop an accurate and efficient classification model capable of identifying pneumonia cases in patients based on chest X-ray images. Pneumonia is a prevalent and potentially life-threatening respiratory infection. Early detection plays a critical role in timely intervention and effective treatment.

Language: Jupyter Notebook - Size: 890 KB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TylerLynch1/Machine-learning-with-python

Basic ML algorithms with python

Language: Python - Size: 138 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

r-papso/carca-replication

CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention

Language: Python - Size: 1.24 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

ksatriow/book-nlp

Modeling Book Datasheet with NLP

Language: Jupyter Notebook - Size: 282 KB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

omid-gervei/cifar10_proj_deep_with_flatten_layer

This is a test project for classifying the well-known cifar10 database using a deep neural network.

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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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suraj5424/Predicting-Future-Movements-from-Skeleton-Data

This notebook tackles predicting future movements from skeleton data, crucial for applications like fall detection or gesture recognition. Leveraging deep learning, it preprocesses the dataset, trains a CNN model, evaluates its accuracy, and generates predictions for submission, all in a structured manner.

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Pirata-Codex/Farsi-Digit-Recognizer

Building a model for recognizing Farsi digits with the highest possible accuracy

Language: Jupyter Notebook - Size: 953 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 0

harmanveer-2546/Music-Genre-Classification

Classifying the genre of a music using deep neural networks.

Language: Jupyter Notebook - Size: 1020 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Sk70249/Bank-Customer-Analysis-using-Artificial-Neural-Network

An Artificial Neural Network or a Deep Learning Model that identifies whether the customer will leave the bank or not.

Language: Jupyter Notebook - Size: 1.67 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

nguyenquangtung/ML-Chatbox

Basic chatbot using Keras Sequential Model and Deployment

Language: Python - Size: 1.01 MB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

Harshraj1301/Deep-Learning-Applications-for-Image-Classification

This project examines various machine learning models for classifying text (restaurant and movie reviews) and images (CIFAR-10 dataset)

Language: Jupyter Notebook - Size: 7.33 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ahmad-PH/auto-shakespeare

A simple text generator that mimics Shakespeare's style of writing.

Language: Python - Size: 8.55 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

RobertLicht/NN_PyTorch_AT_Example

Demo of a first deep learning neural network model in Python, based on the tutorial by Adrian Tam

Language: Batchfile - Size: 57.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

robmanch/Extracting-part-of-a-tweet-that-reflects-sentiment

In this project, for a given tweet and its sentiment, the goal is to pick out the part of the tweet (word or phrase) that reflects the sentiment.

Language: Jupyter Notebook - Size: 2.04 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

alex-w-99/ML-predictive-machinery-maintenance

A predictive maintenance framework contrasting feed-forward and sequential machine learning models to forecast industrial machinery failures, achieving near-perfect AUROC scores with GRU models.

Language: Jupyter Notebook - Size: 31.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

riccardoprosdocimi/ml-predictive-maintenance

This repository contains code and documentation for a machine learning project focused on predictive maintenance in industrial machinery. The project explores the development of a comprehensive predictive maintenance system using various machine learning techniques.

Language: Jupyter Notebook - Size: 3.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

halekmc/Sequential-Model-

A simple study I have done to learn how to create a Sequential Model. It includes data set creation, model training and testing with test data.

Language: Python - Size: 1.95 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

fenicXs/Sickle-Cell-anemia-detection

This repository contains code for a convolutional neural network (CNN) model trained to detect sickle cell anemia in blood cell images. The model achieves 78% accuracy on test images, aiding in early diagnosis and management of this hereditary blood disorder.

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NayanKanaparthi/Song-Poetry-Generation-Model

This open-source project aims to train a model that can learn from a collection of Irish songs and generate poetic lyrics inspired by the rich cultural heritage of Ireland.

Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

deepankarvarma/Skin-Cancer-Detection--OpenCV-TensorFlow-Keras

This repository contains Python code for generating a skin cancer detection model and utilizing it to detect skin cancer from user-inputted images or videos. The model architecture follows a sequential structure consisting of convolutional and pooling layers, with the final output layer using a sigmoid activation function.

Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

Ritvik896/Apis-Insight-

Predict bee phenotype, beehive health as well as live time bee and beehive Monitoring

Language: Jupyter Notebook - Size: 115 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tangphucnhan/Predict-Digit-Images-By-Keras

Sequential model to predict digits in image

Language: Python - Size: 16.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nisrinaishmh/Artificial-Neural-Network-Program-to-Recognize-Hand-Shapes-that-Form-Scissors-Rock-or-Paper

Train a computer to play Rock-Paper-Scissors by teaching it to recognize hand gestures using images! (Great for machine learning beginners) 😎

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

nuravir/drugs_dataset

Demonstration of basic EDA and Deep Learning knowledge through the implementation of a competitive problem from HackerEarth (2020)

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kstarkiller/simplon_brief13_enhanced_OCR

OCR project with MNIST and FASHION-MNIST datasets. A website allows you to take photo of handwritted numbers from which you can obtain a prediction of what this number is.

Language: Jupyter Notebook - Size: 16.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

davidgeorgewilliams/Transformer

Explore the Transformer architecture, a Python toolkit engineered for top-tier machine learning performance in processing sequential and spatial data tasks.

Language: Python - Size: 1.89 MB - Last synced at: 8 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

vicaaa12/Deep-Neural-Networks

Neural Network

Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

deepankarvarma/Yawn-Detection-OpenCV-Keras-TensorFlow-Sklearn

This repository contains Python code for generating a yawning detection model and using it to detect yawning instances from a live camera stream. The model architecture consists of convolutional and pooling layers, followed by fully connected layers.

Language: Python - Size: 27.6 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 1

shomerthesec/Research-Buildings-Energy-forecasting-using-Deep-Learning

Research done by me and @mennanawar on load forecasting using the ASHRAE building dataset provided by kaggle.

Language: Jupyter Notebook - Size: 361 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 1

ayan-cs/bangla-ocr-transformer

Implementation of the paper 'Towards Full page Offline Bangla Handwritten Text Recognition using Image-to-Sequence Architecture'. For details, please read the README section.

Language: Python - Size: 9.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

nickoaryad/Cloudeka2024-StockPriceTimeSeries

Stock price forecasting using time series data with Sequential model developed on LSTM architecture utilizing optimizer with learning rate

Language: Jupyter Notebook - Size: 521 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

nickoaryad/Cloudeka2024-NewsClassification

Text classification using NLP with Sequential model developed on LSTM architecture utilizing Embedding and Tokenizer

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Moha-cm/Deep-Learning-projects

Project notebook

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Chid2410/Vehicle-detection-using-CNN

This repo contains the dataset and code of my final year project "Vehicle detection using CNN" as partial fulfillment of Msc in IT from the department of computer science, gauhati university

Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AjNavneet/SequentialCNN_MultiClassClassification_TensorFlow

Sequential CNN model using tensorflow for multi-class classification on images.

Language: Jupyter Notebook - Size: 234 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

CYLow98/diyproj

simple diy projects for self learning working with mcu

Language: C - Size: 771 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

immanuvelprathap/Optical-Character-Recognition---KNN-NeuralNetworks-Python

Language: Jupyter Notebook - Size: 104 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

mmalam3/LSTM-RNN-Optimal-Data-Sequence-Generation

An LSTM-based Recurrent Neural Network (RNN) solution developed using TensorFlow and Python to discover sequential data patterns and create optimal data sequences.

Language: Jupyter Notebook - Size: 1.67 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

BinFuPKU/DPJF-MBS

the code of our paper "Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences For Dynamic Person-Job Fit" (实现十多个人岗匹配模型和动态人岗匹配模型的算法库，2021)

Language: Python - Size: 40 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

vaitybharati/Neural-Network_Back-Propagation

Model building and testing using NN Back Propagation

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Devbijwe/Next-Word-Prediction-Model

This repository hosts a deep learning model for precise next-word prediction.

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Moataz-Ab/Deep-Learning-Image-Recognition-Project Fork of gusshepherd/aircraft_type_recognition

Deep learning image recognition project for aircraft type multi-classification

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NRHartFRC/LSTM-Modeling

Attempt to predict the expected price for the following day using Long Short Term Memory method using Keras sequential API for deep learning applications. This program determines a target and date range, trains a model using a generational neural network, then outputs both a plot and the predicted output price for the following day.

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Abir0810/apple_trees_plant_dieases_prediction_using_Sequential_model_and_cnn

Language: Python - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

HealthyData-Hub/Predicting-the-Early-Stages-of-Alzheimers-Disease-Part-1

To provide a complete pipeline to develop a deep learning model. More specifically, a multiclass classification (single label) deep learning model that can predict what stage of Alzheimer's a patient is, from their MRI image

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aditya9110/IBM-Machine-Learning-Coursera

The repository includes the project implementations of the IBM Machine Learning Course

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