GitHub topics: sequential-models
RecSysEvaluation/SIGIR2022-2024-reproducibility-audit
“We share our code online: Why this is not enough to ensure reproducibility and progress in recommender systems research
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pmixer/TiSASRec.pytorch
https://github.com/JiachengLi1995/TiSASRec in PyTorch
Language: Python - Size: 6.73 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 89 - Forks: 17

RecSysEvaluation/RecSys_Evaluation
Revisiting the Performance of GNN Models for Session-based Recommendation
Language: Python - Size: 318 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

pmixer/SASRec.pytorch
PyTorch(1.6+) implementation of https://github.com/kang205/SASRec
Language: Python - Size: 19.8 MB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 405 - Forks: 100

Mohamed-Devp/spam_detection_with_lstms
Use NLP and sequentiel models to detect spam messages.
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CaptainE/RNN-LSTM-in-numpy
Building a RNN and LSTM from scratch with NumPy.
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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: about 7 years ago - Stars: 175 - Forks: 32

Dishant27/Image-Classification
This is Image Classification/recognition project where Tensorflow and Keras are used along with Convolutional Neural Network.
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LindaSekhoasha/COMP703-AI
Project in Sequential Modelling
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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: about 1 month ago - Pushed at: about 1 month ago - Stars: 23 - Forks: 6

Thartvigsen/thartvigsen.github.io
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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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ayush1999/Keras.jl
Run keras models with a Flux backend
Language: Julia - Size: 18 MB - Last synced at: 16 days ago - Pushed at: over 6 years ago - Stars: 21 - Forks: 3

astroarth/AI_use_cases
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ArtZaragozaGitHub/CV--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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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: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

EPSOFT/layers
layers
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stared/keras-sequential-ascii
ASCII summary for simple sequential models in Keras
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Pavansomisetty21/MNIST-Classification-using-Keras-MLP-Sequential-
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thag0/JNN
Biblioteca para manipulação de modelos de Redes Neurais
Language: Java - Size: 213 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - 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: 4 months ago - Pushed at: 4 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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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: about 2 months ago - Pushed at: over 1 year 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.
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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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wmkouw/ssa-nlp
Sequential subspace alignment for temporal domain adaptation in natural language processing
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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
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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.
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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.
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TylerLynch1/Machine-learning-with-python
Basic ML algorithms with python
Language: Python - Size: 138 KB - Last synced at: 9 months ago - Pushed at: 9 months 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: about 2 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

ksatriow/book-nlp
Modeling Book Datasheet with NLP
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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
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harmanveer-2546/Music-Genre-Classification
Classifying the genre of a music using deep neural networks.
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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.
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nguyenquangtung/ML-Chatbox
Basic chatbot using Keras Sequential Model and Deployment
Language: Python - Size: 1.01 MB - Last synced at: 12 days ago - Pushed at: over 2 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)
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ahmad-PH/auto-shakespeare
A simple text generator that mimics Shakespeare's style of writing.
Language: Python - Size: 8.55 MB - Last synced at: 11 months ago - Pushed at: over 4 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: 11 months ago - Pushed at: 11 months 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: 11 months ago - Pushed at: over 3 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.
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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: 285 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - 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.
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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: about 1 year ago - Pushed at: over 3 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.
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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: 12 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 2

Ritvik896/Apis-Insight-
Predict bee phenotype, beehive health as well as live time bee and beehive Monitoring
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tangphucnhan/Predict-Digit-Images-By-Keras
Sequential model to predict digits in image
Language: Python - Size: 16.2 MB - Last synced at: about 1 year ago - Pushed at: about 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: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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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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.
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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: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

vicaaa12/Deep-Neural-Networks
Neural Network
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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: 12 months ago - Pushed at: over 1 year 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: about 1 year ago - Pushed at: about 2 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: about 1 year ago - Pushed at: about 1 year 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
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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
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AjNavneet/SequentialCNN_MultiClassClassification_TensorFlow
Sequential CNN model using tensorflow for multi-class classification on images.
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CYLow98/diyproj
simple diy projects for self learning working with mcu
Language: C - Size: 771 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

immanuvelprathap/Optical-Character-Recognition---KNN-NeuralNetworks-Python
Language: Jupyter Notebook - Size: 104 MB - Last synced at: over 1 year ago - Pushed at: over 3 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: over 1 year ago - Pushed at: over 1 year 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: over 1 year ago - Pushed at: over 1 year 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: over 1 year ago - Pushed at: over 2 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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Devbijwe/Text-Emotions-Classification
A machine learning model for emotion classification in text data.
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noernimat/sequential_model_for_rockscissorspaper_images_dataset
Image Recognition using Rock-Paper-Scissors images dataset from Kaggle
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SanjayB-28/Predicting-Fuel-Efficiency
Sequential Model to predict Fuel Efficiency of Automobiles.
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MsnAmiri/Customer-Loyalty-Prediction-in-Python
A machine learning and deep learning project from ground up.
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JiahongChen/d2l-pytorch-implementation
This repo provides Pytorch implementation for codes in the book "Dive Into Deep Learning" (http://d2l.ai/) and course Berkeley STAT 157 (https://courses.d2l.ai), which gives a brief tutorial on deep learning methods.
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Priya2216/Insurance_Claim_Prediction-Neural-Network
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SaibalPatraDS/Stock_Market_Analysis
In this project, we 'The Phoenix' will create a model that will help us to predict the stock price, with colorful visualization.
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cod3bug/LSTM_RestaurantReview
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