An open API service providing repository metadata for many open source software ecosystems.

Topic: "sequential-models"

pmixer/SASRec.pytorch

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

Language: TeX - Size: 19.8 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 426 - Forks: 103

google/vae-seq 📦

Variational Auto-Encoders in a Sequential Setting.

Language: Python - Size: 232 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 175 - Forks: 32

stared/keras-sequential-ascii

ASCII summary for simple sequential models in Keras

Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: 10 days ago - Pushed at: over 6 years ago - Stars: 127 - Forks: 18

pmixer/TiSASRec.pytorch

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

Language: Python - Size: 6.73 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 89 - Forks: 17

CaptainE/RNN-LSTM-in-numpy

Building a RNN and LSTM from scratch with NumPy.

Language: Jupyter Notebook - Size: 74.2 KB - Last synced at: 24 days ago - Pushed at: about 1 year ago - Stars: 43 - Forks: 5

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).

Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 24 - Forks: 6

liuqidong07/LLMEmb

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

Language: Python - Size: 92.8 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 23 - Forks: 6

ayush1999/Keras.jl

Run keras models with a Flux backend

Language: Julia - Size: 18 MB - Last synced at: 2 months ago - Pushed at: almost 7 years ago - Stars: 21 - Forks: 3

TrainingByPackt/Applied-Deep-Learning-with-Keras

Solve complex real-life problems with the simplicity of Keras

Language: Jupyter Notebook - Size: 782 MB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 18 - Forks: 28

albertusk95/intention-to-code-lstm

Source Code Generation Based On User Intention Using LSTM Networks

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

FirstHandScientist/genhmm

Generative model based HMM model

Language: Python - Size: 138 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 16 - Forks: 3

anantSinghCross/realtime-hand-gesture-recognition

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

Language: Python - Size: 38.6 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 13 - Forks: 11

EPSOFT/layers

layers

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 0

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.

Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 11 - Forks: 3

beomso0/ezSASRec

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

Language: Jupyter Notebook - Size: 42.1 MB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 1

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: over 2 years ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 1

LuluW8071/Text-Sentiment-Analysis

Text Sentiment Analysis with RNNs Models + Additive Attention and Transformers

Language: Jupyter Notebook - Size: 6.34 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 9 - Forks: 2

inboxpraveen/Skin-cancer-lesion-detection

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

Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 3

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: 5 months ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 3

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: almost 2 years ago - Stars: 6 - Forks: 0

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: over 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

manupomax/time_series_bible

comprehensive collection of powerful techniques for time series data visualization, analysis and modeling

Language: Jupyter Notebook - Size: 79.3 MB - Last synced at: 3 days ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 4

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: about 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1

MsnAmiri/Customer-Loyalty-Prediction-in-Python

A machine learning and deep learning project from ground up.

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

Ankit152/Emotions-Detection-NLP

Emotions dataset for NLP classification tasks.

Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 2

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: about 1 year ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

wmkouw/ssa-nlp

Sequential subspace alignment for temporal domain adaptation in natural language processing

Language: Jupyter Notebook - Size: 43.6 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1

thag0/JNN

Biblioteca para manipulação de modelos de Redes Neurais

Language: Java - Size: 213 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 3 - 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 1 month ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

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.

Language: Jupyter Notebook - Size: 33.2 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

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.

Size: 2.97 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

ycchen1989/Quantum_Long_Short_Term_Memory

Implementation of Quantum Long Short-term Memory (QLSTM)

Language: Python - Size: 0 Bytes - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 1

FrozenAssassine/VoiceAssistant

A german voice assistant using Keras

Language: PureBasic - Size: 81.6 MB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

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: about 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 2

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

Fundamentals and Applications of Deep Learning

Size: 25.3 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

storytellingengineer/Devanagri_Character_Recognition

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

Language: Jupyter Notebook - Size: 46.8 MB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

Anhad-Shrivastava/Deep-Learning-Specialization

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

Language: Jupyter Notebook - Size: 106 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

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: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 3

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. 🛠️🌌

Language: Python - Size: 11.7 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 46.9 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 7.82 MB - Last synced at: 25 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

ukangrui/Better-SASRec

cleaned-up and optimized for SASRec, Pytorch Implementation

Language: Python - Size: 19.8 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 122 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 7.02 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 460 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

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

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: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 117 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

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: 3 months ago - Pushed at: almost 2 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: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

aLPHAClASHEr/Disease-predictor-Neural-nets

It predicts whether the patient has Heart Disease or not

Language: Jupyter Notebook - Size: 443 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

gazelle93/Recurrent-Networks_LSTM-and-GRU

This project aims to implement LSTM and GRU.

Language: Python - Size: 12.7 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

afsaraali/Wind-Farm-Forecasting

Forecasting wind farm energy output predictions

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 1

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.

Language: Jupyter Notebook - Size: 5.35 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 2.55 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

atarax665/CAPTCHAred

A sequential machine learning model to predict captchas.

Language: Jupyter Notebook - Size: 8.44 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - 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

vigneswaran-chandrasekaran/Flipflop_experiments

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

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

copev313/Chatbot-Using-Deep-Learning

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

Language: Jupyter Notebook - Size: 368 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

Ankit152/TrafficSignal

A deep learning model to classify Traffic Signals.

Language: Python - Size: 4.78 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

iafarhan/image-captioning-transduction-models

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

Language: Jupyter Notebook - Size: 442 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

ksatriow/book-nlp

Modeling Book Datasheet with NLP

Language: Jupyter Notebook - Size: 282 KB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

vaitybharati/Neural-Network_Back-Propagation

Model building and testing using NN Back Propagation

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

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

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

Language: Jupyter Notebook - Size: 383 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 9

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: 4 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

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

Multi Layered Perceptron (Assignment 2)

Language: Jupyter Notebook - Size: 555 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 15.4 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

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: about 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

oziomek1/neural_network_dice

Notebooks with various models for images recognition based on dices example

Language: Jupyter Notebook - Size: 26.5 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

sun-vonxu/emotion-detection-nlp

# Emotion Detection from Text using NLP## 📘 Project OverviewThis project uses Natural Language Processing to detect emotions like joy, sadness, anger, and fear from text. It compares traditional machine learning and deep learning models, ensuring robust evaluation. ## Objectives- Build a strong emotion classifier using public datasets.- Anal

Language: Jupyter Notebook - Size: 21.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

LindaSekhoasha/COMP703-AI

Project in Sequential Modelling

Language: Jupyter Notebook - Size: 1.98 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 3.97 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 8.16 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed at: about 2 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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Dishant27/Image-Classification

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

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Thartvigsen/thartvigsen.github.io

Language: HTML - Size: 128 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

astroarth/AI_use_cases

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - 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.

Language: Jupyter Notebook - Size: 17.5 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

petar-ceho/rnn-numpy

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

Language: Python - Size: 147 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 141 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

kunalPisolkar24/ML_Lab

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

Language: Jupyter Notebook - Size: 4.75 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.57 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

dscolby/Whiteboard

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

Size: 31.3 KB - Last synced at: 11 months ago - Pushed at: 11 months 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: 11 months ago - Pushed at: 11 months 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

Language: Jupyter Notebook - Size: 41.8 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

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

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

Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Sasi-008/Reviews-classification-Sentiment-analysis

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

Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

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: 4 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

TylerLynch1/Machine-learning-with-python

Basic ML algorithms with python

Language: Python - Size: 138 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year 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.

Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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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harmanveer-2546/Music-Genre-Classification

Classifying the genre of a music using deep neural networks.

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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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RobertLicht/NN_PyTorch_AT_Example

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

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

Related Topics
machine-learning 45 deep-learning 41 tensorflow 39 keras 35 python 31 neural-network 25 keras-tensorflow 23 pytorch 18 lstm 18 deep-neural-networks 17 convolutional-neural-networks 16 neural-networks 15 numpy 15 python3 13 cnn 11 opencv 11 nlp 11 matplotlib 10 rnn 9 image-classification 9 computer-vision 9 pandas 8 data-science 7 jupyter-notebook 7 artificial-neural-networks 7 recommender-system 7 natural-language-processing 7 lstm-neural-networks 7 time-series 7 seaborn 6 scikit-learn 6 image-processing 6 adam-optimizer 6 vgg16 6 data-visualization 5 sequential-recommendation 5 confusion-matrix 5 feature-engineering 5 classification 5 tokenizer 5 logistic-regression 5 dense 5 random-forest 4 mnist 4 keras-models 4 keras-neural-networks 4 dropout 4 artificial-intelligence 4 kaggle 4 sequential 4 bidirectional-lstm 4 sklearn 4 relu-activation 4 transformer 4 tensorflow2 4 generative-model 3 eda 3 deeplearning 3 image-recognition 3 callback 3 reinforcement-learning 3 mnist-handwriting-recognition 3 sasrec 3 transfer-learning 3 cnn-keras 3 hyperparameter-tuning 3 early-stopping 3 maxpooling2d 3 gru 3 text-classification 3 relu 3 long-short-term-memory 3 regression 3 rnn-tensorflow 3 flask 3 model-evaluation 3 ai 3 recommender-systems 3 keras-classification-models 3 sentiment-classification 3 tensor 3 sentiment-analysis 3 opencv-python 3 dataset 2 convolutional-neural-network 2 ibm 2 encoder-decoder-model 2 recurrent-neural-networks 2 mnist-image-dataset 2 binary-classification 2 attention-mechanism 2 binary-cross-entropy 2 support-vector-machines 2 flatten 2 nltk 2 train-test-split 2 predictive-modeling 2 optimizer 2 machinelearning 2 research-project 2