hurshd0/must-read-papers-for-ml

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

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pvlachas/RNN-RC-Chaos

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.

Language: Python - Size: 282 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 76 - Forks: 32

Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

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jyoti0225/Air-Pollution-Forecasting

Time Series Analysis of Air Pollutants(PM2.5) using LSTM model

Language: Jupyter Notebook - Size: 745 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 40 - Forks: 10

muskang48/Speaker-Diarization

This project is about performing Speaker diarization for Hindi Language.

Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 37 - Forks: 14

nursnaaz/Deeplearning-and-NLP

Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.

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mounalab/Multivariate-time-series-forecasting-keras

This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron

Language: Python - Size: 64.2 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 25 - Forks: 9

Snigdho8869/Multiclass-Text-Classification

Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.

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akshay-rakheja/Trading-Algos

Monorepo for trading algorithms

Language: Python - Size: 1.82 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 11

CN-TU/adversarial-recurrent-ids Fork of muxamilian/privacy-tuw

Contact: Alexander Hartl, Maximilian Bachl, Fares Meghdouri. Explainability methods and Adversarial Robustness metrics for RNNs for Intrusion Detection Systems. Also contains code for "SparseIDS: Learning Packet Sampling with Reinforcement Learning" (branch "rl").

Language: TeX - Size: 2.07 GB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 14 - Forks: 11

iAmKankan/Neural-Network

Deep Learning, Attention, Transformers, BERT, GPT-2, GTP-3

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OrestisMk/OrestisMk-Multivariate-forecast-with-VAR-SVR-RNN-LSTM

Forecasting exchange rates by using commodities prices

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geekquad/TEXTGEN

The main task of the character-level language model is to predict the next character given all previous characters in a sequence of data, i.e. generates text character by character.

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PratikSaha198/Lyrics-Generation-using-RNNs

Coherent / Meaningful lyrics generation using RNNs , with a dataset created by web-scraping the GENIUS website using its API.

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himankpathak/stockmarket-prediction

Predicting stock market prices using RNN with LSTM

Language: HTML - Size: 257 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 3

Abhradipta/Fake-News-Detection

Fake News Detection Using Recurrent Neural Networks (RNNs) & Long Short Term Memory (LSTM).

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exchhattu/TimeseriesWeatherForecast-RNN-GRU-LSTM

Weather forecasting using recurrent neural network

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gaurav-singh1998/ABC_Notation_Music_Generation

This is my first deep learning project in which I implemented a LSTM model on abc notation music data.

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guanzgrace/predicting-patient-volume

Predicting Sick Patient Volume in a Pediatric Outpatient Setting using Time Series Analysis [Presented at MLHC 2019]

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Gitster7/AI-Music-Generator

In this project we will be building a model capable of generating notes and chords after learning from the dataset of songs we provide to our recurrent neural network and create songs. Before we start, let us recall few of the basic concepts and terminologies we will be using in this project and add to that knowledge the concepts required to successfully train our model to be an excellent composer.

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imshreyshah/air-quality-analysis-forecasting

This repository contains the notebooks used in my project "Air quality analysis and forecasting"

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rsyed0/mquery

Algotrading toolkit using customizable strategies, genetic algorithms, and RNN-based strategies

Language: Python - Size: 29 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

ds-brx/Time-series-analysis-project

Time series analysis on NIFTY-50 index stock data. The project visualises trends in stock data and explores various time-series analysis models such as ARIMA, ARMA and deep learning models such as LTSM and RNN to predict stock prices with the highest accuracy.

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scionoftech/Neural_Machine_Translation_English_Telugu

English to Telugu Neural Machine Translation using Encoder-Decoder

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laugh12321/GeneratePoetry-Translate

✨Using RNN and LSTM generate poetry by Keras, and translate poetry. (通过Keras实现基于RNN与LSTM的藏头诗自动生成模型, 并将生成的古诗翻译成英文.)

Language: Python - Size: 5.22 MB - Last synced at: 24 days ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 6

SumaiyaTarannumNoor/CSE299--Predicting-the-Risk-of-Depression-Based-on-ECG-using-RNN.

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jiunting/MLARGE

Scripts for M-LARGE training and analysis

Language: Python - Size: 5.76 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 1

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: 21 days ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 1

scionoftech/TextClassification-BERT

A jupyter notebook, Text classificaiton using BERT: Bidirectional Encoder Representations from Transformers

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omid-d/CS231n

All Solutions to Stanford CS231n Spring 2023 Course Assignments.

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SinaRaoufi/tesla-stock-price-prediction

Tesla stock price forecasting with LSTM using Pytorch 📈

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LaurentVeyssier/Image-Captioning-Project-with-full-Encoder-Decoder-model

Generate caption on images using CNN Encoder- LSTM Decoder structure

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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: 29 days ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 5

vls-00/Neural-Networks-for-Vaccine-Sentiment-Classifier

:robot: :capital_abcd: Making the vaccine sentiment classifier using tweets as datasets with the help of Pytorch Neural Networks and Glove word embeddings. Using both feed-forward nets and bidirectional stacked RNNs.

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cepdnaclk/e18-6sp-Realtime-Flood-Forecast-System

Realtime Flood Forecast: Real-time Flood Forecast system for early warning and flood management Flood Inundation GIS Map: improve flood modeling and disaster response planning Interactive Website: provide access to flood-related information, resources, and support.

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dibyansu24-maker/Neural-Image-Caption-Generator

Automatically describing the content of an image fundamental problem in artificial intelligence that connects computer vision and natural language processing.

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slrbl/future-prediction-using-tweets-and-ai

Prediction big events using data from time series data from hedonometer

Language: Python - Size: 54.7 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

davide97l/Sentiment-analysis

Pytorch implementation of a sentence sentiment classification model with CNN, RNN, RNF (Recurrent Neural Filter) and BERT

Language: Python - Size: 46 MB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 2

Nikhilkohli1/Cognitive-Computing-Deep-Neural-Networks

Keras Deep Learning projects including Classifying Images for ImageNet data using CNNs, Transfer Learning and Hyperparameter Optimization

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archana1998/predictive-modelling

Predictive Modelling of Time Series Data using LSTM RNNs

Language: Python - Size: 11.7 KB - Last synced at: 10 months ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

pathanin-kht/Smart-Agriculture-System-for-Wolffia-Globosa-Cultivation-with-IoT

IoT Project

Language: Python - Size: 1.45 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

SevilayMuni/Multivariate-TimeSeries-Forecast-LSTM-Apple-Google-Stocks

Complete guide to create robust LSTM models for forecasting stock price

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smvorwerk/xlstm-cuda

Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports

Language: C++ - Size: 951 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

Avinash793/adversarial-attacks-on-load-forecasting-model

Studied the impact of adversarial attacks on RNN Based load forecasting model.

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jyojay/MONU_Project_4

Fake and True news Classification using ML and RNN

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SHVleV9CYWkK/IoT-anomaly-detection

🚀 Leveraging advanced RNN with LSTM for efficient, real-time anomaly detection in IoT networks, optimized for performance in resource-constrained environments.

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robertocarlosmedina/rnn-lstm-translator

Long Short-Term Memory (LSTM) Model Implementation in order to train it to translate over Cap-verdian criole to English.

Language: Python - Size: 350 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

saahas-kohli/VaccineNeed.ai

A web app that visualizes California county vaccination patterns and predicts their future trends with LSTM networks.

Language: Python - Size: 1.43 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

oghahroodi/Lip-Recognition 📦

Language: Python - Size: 356 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2

Premchand95/Sentiment-Analysis-of-Reviews-using-Machine-Learning-algorithms-on-Textual-data

CSCI 59000 BIG DATA ANALYTICS PROJECT

Language: Python - Size: 87.2 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 1

tlacaelel666/cuadrante-coremind

El Proyecto Cuadrante Neuronal Cuántico (QNC) intenta crear un puente entre el campo de la inteligencia artificial y la computación cuántica.

Language: Python - Size: 577 KB - Last synced at: 1 day ago - Pushed at: 1 day 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

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yashmaniya0/Respiratory-Sound-Classification-with-BiGRU-and-BiLSTMs

Used RNN architectures to classify the respiratory sound samples into four different categories. This will in turn help detect respiratory diseases in patients.

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immanuvelprathap/LSTM-Sentiment-Analysis---AmazonReviews-Dataset

AmazonReviewsRatings - LSTM -Sentiment Analysis - Please find the Amazon Dataset in the below URL.

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abhi227070/Stock-Price-Forecasting-using-LSTM

This project uses LSTM neural networks to forecast Google Stock prices. Data is fetched from Tiingo using pandas datareader, preprocessed, and used to train the model. It's designed to run on Google Colab with GPU acceleration for faster training.

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sdivyanshu90/MindfulML

Welcome to MindfulML, where innovation meets insight in the realm of machine learning. Join us as we explore the wonders of artificial intelligence and unleash the potential of data science. Together, let's journey into the future of technology, one algorithm at a time.

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Trupti2011/TimesJob-Post-Analysis

Timesjob post Analysis using Sentiment Analysis NPL using Web Scrapping data

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datasciencegeek1/ECMWF-Query-Prediction

Implemented RNN with LSTM to predict queries for retrieving weather data from the ECMWF. The study investigated data pre-processing, hyperparameter tuning, model, architecture and training. The model achieved 91% accuracy. The work will significantly reduce large data fetching latency from tape systems which are slow unlike disk drives

Language: Python - Size: 21.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

ericsoderquist/SentimentAnalysis_IMDB_RNN

Sentiment Analysis of IMDB Movie Reviews using a Hand-Crafted Recurrent Neural Network.

Language: Python - Size: 151 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ashendrasharma/Stock-Price-Prediction-Using-LSTM

"Exploring the Dynamics of Stock Price Prediction: Harnessing the power of LSTM neural networks, this project demonstrates the application of deep learning techniques to forecast Apple's stock prices using historical data from Yahoo Finance."

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cybergeekgyan/BitPredict

Highly accurate forecasting model for predicting Bitcoin prices in January 2024 using deep learning techniques, specifically Recurrent Neural Networks (RNNs).

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richardwarepam16/BE_DL_Practicals

Deep Learning Practicals of B.E. SPPU, Computer Engg.

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koalalovepabro/AI_Study

Koala's Toy Project

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TravisMai/CO3029_DataMining_HK222

Stock price prediction using LSTM, GRU and LSTM + GRU (base on VNINDEX)

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sphamtambo/lstm-drug-discovery

Biological activity prediction of HIV compounds using LSTM models.

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aldimeolaalfarisy/Tweet-Sentiment-Analysis

Tweet sentiment Analysis using deep learning method and model deployment using Flask and Swagger

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notslok/Audio-Deep-learning

Deep learning pipeline dealing with audio use cases.

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Darshbhi99/Data-Science-Projects

Projects based on CNN, Object Detection and RNN

Language: Python - Size: 232 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

FrancescoGradi/DocumentClassificationwithHANandBERT

Comparison between RNNs and Attention in Document Classification

Language: Python - Size: 1020 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

Ertugrulmert/ECG-Time-Series-Classification

Deep learning models for classifying ECG time series

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sveatlo/FIT-SFC-LSTM-demonstration

Demo LSTM C++ implementation

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SoundaryaMiranam/Stock-Price-Prediction

This project uses sentiment analysis using tweepy and textblob and Deep Learning model, Long-Short Term Memory (LSTM) Recurrent neural network (RNN) algorithm to predict closing prices of stocks.

Language: Python - Size: 478 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

kshitij-raj/Stock-Price-Prediction-LSTM

The following repository contains Google Stock Price Prediction using Keras LSTM Model. The closing stock prices have been predicted based on the previous 5 years' data extracted from https://api.tiingo.com/.

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kshitizdoon/Time-Series

Time Series Analysis using statsmodels and python

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ArhumIshtiaq/autocomplete

📝 This repo is a supplement to my video on AI-based autocomplete tools as part of my series AI does AI (https://www.youtube.com/watch?v=QdsEeFmbOyw)

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mmaks74/How_to_start_with_ML_project

The notebook to my article in LinkedIn

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Msq-9/image-captioning

Generating caption for a given image

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FatbardhKadriu/Sentiment-analysis-per-texts-in-Albanian-tongue

This study was conducted at the Faculty of Electrical and Computer Engineering as a Bachelor thesis.

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AviKasliwal/emojiPrediction

emoji prediction using LSTM

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LaurentVeyssier/Automatic-image-Captioning

Captioning generated by a CNN encoder (ResNet 101) and a decoder using LTSM with attention

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teambeca/beca-storybot

Herkes için Açık Kaynak NLP Veri Kümesi

Language: Python - Size: 141 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

HamedBabaei/music-generation

Music Generation

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Jairus313/TimeSeries_using_LSTM

Here I have implemented RNN with LSTM for Univariate Time Series dataset from one of the kaggle competition

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vgp314/deep-learning-image-captioning

Define and train an image-to-caption model, that can produce descriptions for real world images! Week 6 of Deep Learning Course from Coursera!

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DorinK/RNN-Acceptors-and-BiRNN-Transducers

Third Assignment in ׳Deep Learning for Texts and Sequences׳ course by Prof. Yoav Goldberg at Bar-Ilan University

Language: Python - Size: 4.12 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

Masum06/GenderViz

Visualize interactions between different genders in any given text.

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siddheswarc/LID-using-CRNNs

Language Identification using Deep Convolutional Recurrent Neural Networks

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the-code-experiments/experiment-rnn

Learning the basics of RNN

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blair49/Text-Summarization Fork of nikhilcss97/Text-Summarization

Jupyter notebooks for text summarization using Deep Learning techniques

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tew9/TV-Script-Generator

TV Script Generation In this project, you'll generate your own Seinfeld TV scripts using RNNs. You'll be using part of the Seinfeld dataset of scripts from 9 seasons. The Neural Network you'll build will generate a new ,"fake" TV script, based on patterns it recognizes in this training data. Get the Data The data is already provided for you in ./data/Seinfeld_Scripts.txt and you're encouraged to open that file and look at the text. As a first step, we'll load in this data and look at some samples. Then, you'll be tasked with defining and training an RNN to generate a new script!

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anjanatiha/Twitter-US-Airline-Sentiment

Twitter data on US Airlines Sentiment Analysis with Deep Learning (LSTM and CNN)

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mukeshsundar23/AIDetect_Website_Final_V1

A Website where anyone can check if any content (Text, Image or Video) are AI generated.

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Ad882/Recurrent-Neural-Network-Acoustic-Models-for-Speech-Recognition

Recurrent Neural Network Acoustic Models for Speech Recognition

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polaternez/cyberbullying-tweet-detection-rnn

Utilizing Recurrent Neural Networks (RNNs) to predict the types of cyberbullying in tweets

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sinhaparth5/learning-rnn

Creating a deep learning model (specifically an LSTM-based RNN) that learns patterns from Indian devotional MIDI music files and can generate new, similar music pieces - essentially training an AI to compose new devotional songs by learning from existing ones.

Language: Python - Size: 1.94 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

joaobaptista30/Sound_Classification

Project to learn about Neural Networks, the goal as to explore and test architectures for CNN and RNN-LSTM to classify sounds in the urbansound8k dataset

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yuwei-yu/generate_poems

运用 LSTM 网络进行古诗生成，探索人工智能于古典文学创作之应用。

Language: Python - Size: 24.2 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

AtheerAlzhrani/nlp_projects

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

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Adii2202/Rescue-AI

AI project on Healthcare emergencies demand immediate and precise intervention. This is quick, accurate and guidance critical in saving lives. This project focuses on AI-powered system specifically designed for healthcare emergencies, enabling efficient, real-time responses through both voice and video calls.

Language: Python - Size: 291 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 1

MPoojithavigneswari/Sentiment-Analysis

The primary goal of this project is to build a sentiment analysis model that can predict the sentiment of a given review (positive or negative).

Language: Jupyter Notebook - Size: 37.4 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0