GitHub topics: rnn-tensorflow

Repositories

GwRzky/Stock-Predictor

An AI powered stock predictor to combat financial illiteracy

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anjaliy11/RNN_sentimental_analysis

Implementation of a Recurrent Neural Network (RNN) using TensorFlow/Keras for binary sentiment classification on the IMDB dataset, featuring word embeddings, sequence padding, and a Streamlit interface for real-time inference.

Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

SamSamhuns/musical_python

Creating artificial music though LSTM Recurrent Neural Networks

Language: C - Size: 16.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 4 - Forks: 0

dylee9/feels-trader

A sentiment-driven trading algorithm using deep learning to analyze social media sentiment from StockTwits, Twitter, and Reddit for stock market predictions. Built with Python, TensorFlow/Keras, and MySQL.

Language: Python - Size: 13.6 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 5 - Forks: 2

rani-sikdar/GenAI-complete-course-codes

Language: Jupyter Notebook - Size: 3.71 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

google/e3d_lstm

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

Language: Python - Size: 97.7 KB - Last synced at: 4 days ago - Pushed at: about 3 years ago - Stars: 202 - Forks: 59

yoyolicoris/DL_HW2

Language: Python - Size: 3.95 MB - Last synced at: 9 days ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

miltoncandela/rnn-force-prediction

Code and data for "Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers" (Applied Sciences, 2022) & "Biomechanics Digital Twin: Markerless Joint Acceleration Prediction Using Machine Learning and Computer Vision" (IEEE, 2023)

Language: Python - Size: 2.4 GB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 1

Andersonjesusvital/Speech-Recognition-RNN

Deep learning-based subtitle generation model that processes audio datasets to generate accurate text transcriptions. Includes audio feature extraction, encoder-decoder architecture, training pipelines, and evaluation metrics for subtitle alignment.

Size: 1.95 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

Disiok/poetry-seq2seq

Chinese Poetry Generation

Language: Jupyter Notebook - Size: 77.3 MB - Last synced at: 9 days ago - Pushed at: about 8 years ago - Stars: 177 - Forks: 64

javonnii/melody_generator_rnn

Generating AI melodies using Google's Magenta

Language: Python - Size: 150 MB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 2

Dipanjan777777/RNN-based_Movie_Review_Sentiment_Analysis-

This project implements a Simple Recurrent Neural Network (RNN) to classify movie reviews from the IMDB dataset as either positive or negative sentiment. The project demonstrates end-to-end deep learning workflow from data preprocessing to model deployment.

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

myriamgoyet/Deep_learning--Spam_Detector--AT-T

Creation of a spam detector based on a dataset of AT&T text messages labelised

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DULAKSHANA404/time-series-analysis-temperature-prediction

"RNN-based deep learning model for predicting next-day temperature using historical weather data and time series analysis."

Language: Python - Size: 16.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

TravelXML/TENSORFLOW-AND-KERAS-SENTIMENT-ANALYSIS-USING-RNN

NLP: Sentiment Analysis using TensorFlow and Keras: This project implements a Recurrent Neural Network (RNN) to classify Amazon product reviews into different sentiment categories. It leverages text preprocessing, tokenization, and model training to predict the sentiment with high accuracy.

Language: Jupyter Notebook - Size: 3.36 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

helloxdxd/Bitcoin-Price-Predictor

Predict Bitcoin prices with our machine learning app. Built using Keras and Streamlit, it visualizes trends and forecasts future values. 🌟💻

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

fadeldnswr/imdb-sentiment-prediction

Movie review sentiment analysis using simple RNN architecture to predict positive or negative sentiment

Language: Jupyter Notebook - Size: 13.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AtheerAlzhrani/nlp_projects

NLP projects, which I worked on utilising different natural language processing libraries's.

Language: Jupyter Notebook - Size: 104 KB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

AlexKalll/CodeAlpha-Tasks

The CodeAlpha-Tasks repository features two AI projects: Fire Detection Using YOLOv8, which identifies and tracks fire in real-time, and Music Generation Using RNNs, which creates piano melodies using deep learning. Both showcase AI's impact in safety and creativity. 🚀

Language: Jupyter Notebook - Size: 21.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

neeru1207/RNN-to-predict-Google-Stock-Prices

RNN using LSTM layers in coded in Python using Keras to predict Google open stock prices.

Language: Python - Size: 50.8 KB - Last synced at: 28 days ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 6

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

MathurUtkarsh/Video-Captioning-Using-LSTM-and-Keras

Generating Video Caption Using LSTM

Language: Python - Size: 122 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 1

juxnluu/student-depression

This repository contains a comprehensive analysis of how dietary habits, financial stress, and study hours impact depression levels in students. Explore the methods and findings through R scripts and visualizations to gain insights into student well-being. 🐙📈

Language: R - Size: 428 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

maryamesh/Forecasting-and-Analysis-of-Geomagnetic-Storms-and-Ionospheric-Variations

Forecasting and Analysis of Geomagnetic Storms aims to predict VTEC values to forecast geomagnetic storms. Using time series data from Egyptian Space Agency and Cairo stations, along with NASA’s OMNI data, the project employs an RNN and advanced feature engineering. Outputs are confidential, but the code is available.

Language: Jupyter Notebook - Size: 94.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

asghar-rizvi/Deep_Learning_Projects

Developed multiple Deep Learning projects using CNN, RNN, ANN, and fine-tuned models to tackle real-world challenges. Optimized architectures for diverse tasks, ensuring high accuracy and efficiency. Shared Jupyter Notebooks, providing insights into the model-building process to assist others in utilizing my work.

Language: Jupyter Notebook - Size: 128 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

HaseebUlHassan437/deep_rnns_and_difference-in_parameters

Exploring deep RNN architectures and parameter differences using TensorFlow/Keras — comparing stacked vs wider models for sequential data.

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

girishp92/Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-Smartphones

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

Language: Python - Size: 139 MB - Last synced at: 3 months ago - Pushed at: almost 8 years ago - Stars: 84 - Forks: 37

lilianweng/stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

Language: Python - Size: 53.7 KB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 1,882 - Forks: 677

dennisvdang/chorus-detection

A deep learning project for automated chorus detection in songs, featuring a command-line interface (CLI) tool that allows users to input a YouTube link and utilize a pre-trained CRNN model to detect chorus sections from a song on YouTube

Language: Jupyter Notebook - Size: 159 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 24 - Forks: 4

AM-Ankitgit/Complete-Deep-Learning-Algorithms

deep-learning machine-learning

Language: Jupyter Notebook - Size: 196 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

rafanahmed/QC-RNN-Overfitting-CaseStudy

Case study of an overfit QuantConnect RNN trading strategy for SPY. Demonstrates pitfalls of lookahead bias in backtesting ML models.

Language: Jupyter Notebook - Size: 50.8 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

KKeshav1101/NLP

Based on Natural Language Programming Lab coursework as a part of my degree

Language: Jupyter Notebook - Size: 259 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Charancholaveti/IMDB-SentimentAnalysis

IMDB Movie Review Sentiment Analysis-It will give the sentiment of the review whether it is Positive or Negative

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

badapa1502/GTZAN-Genre-Classification

The goal is to train and experiment with different neural network achitectures on the Mel spectrograms from the GTZAN dataset to classify the corresponding music genres. Different data augmentation techniques, CNNs, RNNs, mix of CNN/RNNs, optimisers/learning rates were adopted to yield 88.5% validation accuracy.

Language: Jupyter Notebook - Size: 979 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

tejaswirupa/Bird-Species-Identification-with-Deep-Learning

Classified bird species from vocal calls using deep learning on audio spectrograms. Achieved 95.45% binary and 67.24% multi-class accuracy, demonstrating strong performance in biodiversity audio analysis.

Language: Jupyter Notebook - Size: 8.25 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

dhyanid13/Intrusion-detection-using-RNN

Detecting attacks in Intrusion-detection-using-RNN

Language: Jupyter Notebook - Size: 5.87 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Raj-UtsaV/IMDB_Movies_Review

"A sentiment analysis project using IMDb movie reviews with NLP and machine learning techniques to classify reviews as positive or negative."

Language: Jupyter Notebook - Size: 108 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

gsurma/text_predictor

Char-level RNN LSTM text generator📄.

Language: Python - Size: 125 MB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 116 - Forks: 35

fractalego/subjectivity_classifier

Detects if a sentence is in a subjective or objective form

Language: Python - Size: 3.14 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 6

Yusuf-Abol/HSR-Passenger-Demand-Forecast

A robust forecasting pipeline for daily transportation passenger counts, combining classical time series modeling with deep learning for superior accuracy and reliability.

Language: Jupyter Notebook - Size: 7.91 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

FrozenAssassine/Sound_Generation_RNN

Midi music generation neural network using RNN with LSTM layer

Language: Python - Size: 7.81 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

hunkim/word-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

Language: Python - Size: 551 KB - Last synced at: 4 months ago - Pushed at: almost 6 years ago - Stars: 1,302 - Forks: 489

LeviBorodenko/garnn

TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.

Language: Python - Size: 99.6 KB - Last synced at: 16 days ago - Pushed at: over 5 years ago - Stars: 27 - Forks: 1

SHRISH01/Deep-Learning-Basics

Deep learning is a method in artificial intelligence (AI) that teaches computers to process data in a way that is inspired by the human brain.

Language: Jupyter Notebook - Size: 24.9 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

abhinabasaha/TimeSeriesAnalysisTSA

Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

drkocoglu/Multiphase-Production-Forecasting-Models

Deep Learning Models for Forecasting Multiphase Production Time Series Data

Language: Jupyter Notebook - Size: 8.25 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

gsurma/password_cracker

Char-level RNN LSTM password cracker 🔑🔓.

Size: 1.02 MB - Last synced at: 4 months ago - Pushed at: about 4 years ago - Stars: 56 - Forks: 16

t04glovern/stylegan-pokemon

Generating Pokemon cards using a mixture of StyleGAN and RNN to create beautiful & vibrant cards ready for battle!

Language: Python - Size: 6.91 MB - Last synced at: 7 days ago - Pushed at: over 5 years ago - Stars: 49 - Forks: 10

sjchoi86/advanced-tensorflow

Little More Advanced TensorFlow Implementations

Language: Jupyter Notebook - Size: 55.7 MB - Last synced at: 2 months ago - Pushed at: almost 8 years ago - Stars: 371 - Forks: 115

mounalab/LSTM-RNN-VAD

Voice Activity Detection LSTM-RNN learning model

Language: Python - Size: 27.3 KB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 50 - Forks: 22

IvanBongiorni/TensorFlow2.0_Notebooks

Implementation of a series of Neural Network architectures in TensorFow 2.0

Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: 11 days ago - Pushed at: over 4 years ago - Stars: 37 - Forks: 22

lucko515/tesla-stocks-prediction

The implementation of LSTM in TensorFlow used for the stock prediction.

Language: Jupyter Notebook - Size: 607 KB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 59 - Forks: 42

crazydonkey200/tensorflow-char-rnn

Char-RNN implemented using TensorFlow.

Language: Python - Size: 5.55 MB - Last synced at: 5 months ago - Pushed at: over 7 years ago - Stars: 426 - Forks: 267

Nazanin1369/stockPredictor

Predict stock movement with Machine Learning and Deep Learning algorithms

Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 5 months ago - Pushed at: about 3 years ago - Stars: 51 - Forks: 28

angeligareta/image-captioning

Image Caption Generator implemented using Tensorflow and Keras in a Python Jupyter Notebook. The goal is to describe the content of an image by using a CNN and RNN.

Language: Jupyter Notebook - Size: 393 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 31 - Forks: 11

KrishArul26/Text-Classification-DBpedia-ontology-classes-Using-LSTM

Text classification is the task of assigning a set of predefined categories to free text. Text classifiers can be used to organize, structure, and categorize pretty much anything. For example, new articles can be organized by topics, support tickets can be organized by urgency, chat conversations can be organized by language, brand mentions can be organized by sentiment, and so on.

Language: Python - Size: 27.3 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1

abu14/Climate-Temperature-Forecasting-LSTM

A climate forecasting model using the Jena Climate dataset, leveraging LSTM networks to predict temperature from 14 atmospheric variables recorded every 10 minutes.

Language: Jupyter Notebook - Size: 14 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

gabrielspmoreira/chameleon_recsys

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Language: Python - Size: 715 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 276 - Forks: 81

manuwhs/BayesianRNN

Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.

Language: Jupyter Notebook - Size: 263 MB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 40 - Forks: 11

i-am-sergio/software-requirements-classification

Language: Python - Size: 90.3 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

yessasvini23/Pytorch-Bootcamp-on-AI-by-OpenCV

This OpenCV course is highly recommended for individuals seeking an introductory experience in Computer Vision and AI, and who wish to establish a strong foundation for their career development.

Language: Jupyter Notebook - Size: 15.9 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

HarshNarayanJha/colornet

Generating RGB colors from text sequences using RNNs

Language: Jupyter Notebook - Size: 1.79 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

laavanjan/Simple_RNN_imdb

This repository provides a Streamlit-based web application for sentiment analysis of IMDB movie reviews.t utilizes a pre-trained Recurrent Neural Network (RNN) model to classify reviews as positive or negative.sers can input their own reviews and receive real-time sentiment predictions.

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

laavanjan/LSTM-RNN-Next-Word-Prediction

An advanced LSTM RNN-based deep learning model designed for next-word prediction. This model processes sequential text data using deep learning techniques to generate accurate and context-aware word predictions in real-time

Language: Jupyter Notebook - Size: 25 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

laavanjan/GRU-RNN-Next-Word-Prediction

This application uses Gated Recurrent Unit (GRU) and Long Short-Term Memory (LSTM) models to predict the next word in a sequence from Shakespeare's Hamlet

Language: Jupyter Notebook - Size: 12 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

vyomshm/Sentiment-RNN

Sentiment analysis using a recurrent neural network

Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 5 months ago - Pushed at: over 8 years ago - Stars: 2 - Forks: 10

Sowham-3098/Stock_Price_Trend_-_Price_Predcition_using_RNN

This repository contains code for predicting stock market prices using Recurrent Neural Networks (RNN). The model is trained on historical stock data and can be used to make predictions for future stock prices.

Language: Jupyter Notebook - Size: 6.31 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

arjunravi26/deep_learning

This repo contains codes and notes to learn deep learning

Language: Jupyter Notebook - Size: 5.72 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

AkshadK7/Production_Forecasting

Time Series Forecasts for Energy Production using LSTM based RNNs

Language: Jupyter Notebook - Size: 135 KB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

jra333/BTC-Price-Prediction

BTC price data pulled from Binance API to explore and analyze its predictability as an asset using traditional indicators as model features.

Language: Jupyter Notebook - Size: 36.2 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 4

briancheang/dr-seuss

Char-RNN generated Dr. Seuss

Language: Jupyter Notebook - Size: 219 MB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 0

AchillesProject/EvolvedNeuron_for_HAR

Language: Jupyter Notebook - Size: 4.88 GB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

38832/Natural-Language-Processing

This repository features NLP and deep learning projects using LSTM, Bidirectional LSTM, Word2Vec, and TF-IDF, implemented with TensorFlow, Keras, and Scikit-Learn.

Language: Jupyter Notebook - Size: 225 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

hamzafer/Visual-Assistant

Visual Assistant is an intelligent interface designed to provide real-time scene understanding by utilizing advanced machine learning and image processing algorithms applied to live video streams.

Language: Python - Size: 9.74 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0

camara94/natural-language-processing-tensorflow

Natural Language processing in tensorflow

Language: Jupyter Notebook - Size: 28.8 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 7

shreenidhi7700/Skimlit-Project

Natural Language Processing Project -SKIMLIT

Language: Jupyter Notebook - Size: 70.8 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

qossayrida/MachineLearning-DataScience

Machine learning and data science projects with notebooks, scripts, and datasets. Explore practical applications and techniques.

Language: Jupyter Notebook - Size: 34.7 MB - Last synced at: about 9 hours ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Brettb8711/rnn-financial-data-analysis

An evaluation of hyper tuning Recurrent Neural Network Models on financial data

Language: Jupyter Notebook - Size: 929 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

AmarNarayanDwivedi/LSTM_Text_Predictor

NextWordPredictor is an advanced natural language processing (NLP) model designed to predict the next word in a sequence of text using a Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM) cells.

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: 6 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

AnuragRaj11/Next-Word-Prediction-LSTM-GRU-RNN-Project

Language: Python - Size: 84.8 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

kubershahi/dfas-rnn

Synthesizing DFAs through RNN

Language: Jupyter Notebook - Size: 2.66 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

AnuragRaj11/IMDB-Movie-Review-RNN-Project

Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

akaliutau/tensorflow-grimoire

Advanced topics in Deep Learning with tensorflow

Language: Jupyter Notebook - Size: 30.9 MB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

SURESHBEEKHANI/Text-Generation-With-LSTM

Long Short-Term Memory (LSTM) networks are a type of Recurrent Neural Network (RNN) designed to address the limitations of traditional RNNs, particularly in handling long-term dependencies. They are well-suited for tasks involving sequential data, such as time series forecasting, natural language processing, and speech recognition

Language: Jupyter Notebook - Size: 66.4 KB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

abishekvashok/Rep-Counter

AI Exercise Rep Counter based on Google's Human Pose Estimation Library (Posenet)

Language: Python - Size: 30.2 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 57 - Forks: 12

SevilayMuni/stock-prediction-web-app

AI web app for real-time stock forecasting & dashboards

Language: Python - Size: 30.1 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

swethagss/LSTM_Next-Word-Predictor

Language modeling is a cornerstone of Natural Language Processing (NLP). This project focuses on next word prediction, where the goal is to predict the most likely next word in a sentence given the preceding context

Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

uragirii/Friends-Generator

This is just a simple RNN text generation model that generates new scripts of Friends TV Show.

Language: HTML - Size: 219 MB - Last synced at: 5 months ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

Jai0212/GPT-RNN-Poetry-Generator

A generative pre-trained transformer (GPT) using a recurrent neural network (RNN) to generate poetry with customizable length and creativity index.

Language: PureBasic - Size: 1.04 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sai-manas/Sentiment-Analysis-RNN

The repository Sentiment-Analysis-RNN is a project that focuses on sentiment analysis using Recurrent Neural Networks (RNN). It utilizes TensorFlow and Keras for building and training the model, and the dataset used is the IMDb movie reviews dataset. The repository includes Jupyter Notebooks demonstrating the prediction and model training processes

Language: Jupyter Notebook - Size: 14.9 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0