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: about 1 month ago - Pushed at: about 1 month 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: about 8 hours ago - Pushed at: over 6 years ago - Stars: 126 - Forks: 18
pmixer/TiSASRec.pytorch
https://github.com/JiachengLi1995/TiSASRec in PyTorch
Language: Python - Size: 6.73 MB - Last synced at: 3 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: about 2 months 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: 6 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: 5 months ago - Pushed at: 5 months ago - Stars: 23 - Forks: 6
ayush1999/Keras.jl
Run keras models with a Flux backend
Language: Julia - Size: 18 MB - Last synced at: 3 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: 4 months ago - Pushed at: over 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
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: 9 days ago - Pushed at: about 4 years ago - Stars: 16 - Forks: 2
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: about 2 months 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: 4 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: 2 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: 3 months ago - Pushed at: 8 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: over 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: 6 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: almost 2 years 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: 25 days ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 4
wmkouw/ssa-nlp
Sequential subspace alignment for temporal domain adaptation in natural language processing
Language: Jupyter Notebook - Size: 43.6 MB - Last synced at: 11 days ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1
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: 7 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
thag0/JNN
Biblioteca para manipulação de modelos de Redes Neurais
Language: Java - Size: 213 MB - Last synced at: 7 months ago - Pushed at: 7 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: 2 months ago - Pushed at: almost 2 years 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: 6 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
NishantkSingh0/Predictive-Models
It include Classification & Regression models trained on Huge kaggle datasets
Language: Jupyter Notebook - Size: 279 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 1
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: 13 days ago - Pushed at: 13 days ago - Stars: 2 - Forks: 0
ycchen1989/Quantum_Long_Short_Term_Memory
Implementation of Quantum Long Short-term Memory (QLSTM)
Language: Python - Size: 0 Bytes - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 1
FrozenAssassine/VoiceAssistant
A german voice assistant using Keras
Language: PureBasic - Size: 81.6 MB - Last synced at: about 1 month 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: 8 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: 9 days ago - Pushed at: 9 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: about 2 months ago - Pushed at: about 2 months 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: about 2 months ago - Pushed at: 6 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: 5 months ago - Pushed at: 7 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: 5 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: 3 months ago - Pushed at: 9 months 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: about 2 years ago - Pushed at: about 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: 4 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
hillalhar/telco-customer-churn
Language: Jupyter Notebook - Size: 427 KB - Last synced at: 9 days ago - Pushed at: about 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: 4 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: 3 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: over 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: 5 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: 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: almost 2 years 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: 5 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: 5 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: about 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: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0
LindaSekhoasha/COMP703-AI
Project in Sequential Modelling
Language: Jupyter Notebook - Size: 1.98 MB - Last synced at: about 1 month ago - Pushed at: about 1 month 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 2 months ago - Pushed at: about 2 months 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: 3 months ago - Pushed at: 3 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: 3 months ago - Pushed at: 3 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: 3 months ago - Pushed at: 3 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: 4 months ago - Pushed at: 4 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.
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Thartvigsen/thartvigsen.github.io
Language: HTML - Size: 128 MB - Last synced at: 2 months ago - Pushed at: 5 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: 2 months ago - Pushed at: 7 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: 8 months ago - Pushed at: 8 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: 4 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: 5 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: 11 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: 4 months ago - Pushed at: 12 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: 12 months ago - Pushed at: 12 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: 12 months ago - Pushed at: 12 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: 12 months ago - Pushed at: 12 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: 12 months ago - Pushed at: 12 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: 12 months ago - Pushed at: 12 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: 5 months ago - Pushed at: about 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: about 1 year ago - Pushed at: about 1 year 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.
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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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harmanveer-2546/Music-Genre-Classification
Classifying the genre of a music using deep neural networks.
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