Abhi7410/NLP-Spring23

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snrazavi/Deep-Learning-for-NLP

Contains different course tutorials and jupyter notebook file for applying different Deep Learning models in different NLP tasks such as text classification, summarization, translation, etc.

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hellojinwoo/TorchCoder Fork of shobrook/sequitur

PyTorch based autoencoder for sequential data

Language: Python - Size: 79.1 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 39 - Forks: 7

boingoing/panann

A zero-dependency, portable, and efficient library for building, running, and training feed-forward artificial neural networks.

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olga1590/Power_consumption_prediction

Regression with LSTM

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AjiteshMahalingam/Predictive-Maintenance-of-Aircraft-engine-using-LSTM-networks

LSTM network is used to predict the RUL of turbofan engines.

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dreamergz/stock-prediction

Stock prediction with LSTM. Predict 21st day close price by input 1 - 20th days store data

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bbabina/Visual-Question-Answering

Visual Question Answering on Medical Data

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Logahn/human-activity-recognition

Implementation of human activity recognition using a Convolutional Neural Network combined with a Long-Short Term Memory Network

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R-aryan/Name_Entity_Recognition

This repository contains model for NER trained on clinical data to extract names of diseases from unstructured text. Named-entity recognition (NER) (also known as entity extraction) is a sub-task of information extraction that seeks to locate and classify named entity mentions in unstructured text into pre-defined categories such as the person names, organizations etc.

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RSBhoomika/Sign-Language-Recognition

In this project, we have created a model to detect sign language using mediapipe holistic keypoints and LSTM layered model.

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darian-catalin-cucer/long-short-term-memory

Long Short-Term Memory (LSTM) is a type of Recurrent Neural Network (RNN) that is capable of remembering long-term dependencies in sequential data by using memory cells, gates, and a hidden state to control the flow of information. It is widely used in time series analysis, natural language processing, and other tasks.

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darian-catalin-cucer/LSTM

LSTM (Long Short-Term Memory) is a type of recurrent neural network used for processing sequential data. It has the ability to store and access information over a longer period of time, allowing it to handle tasks such as language modeling, speech recognition, and sequence prediction.

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tstran155/Time-series-regression-of-Rossmann-stores-sales-data

In this notebook, I built machine learning and neural network models to regress and predict Rossmann stores' daily sales.

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tmatha/lstm

Training an LSTM network on the Penn Tree Bank (PTB) dataset

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lck3nny/AvalancheLSTM

A proof of concept ML project using an LSTM structure to analyse trends in weather data and predict the occurrence of avalanches in the Utah area.

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ohallstrom/ML-jazz-predictions

Chord predictions through ML w/ the Digital and Cognitive Musicology Lab at EPFL

Language: Python - Size: 49 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Minimel/nlu_project 📦

RNN with LSTM cells - Project for Natural Language Understanding Course (ETH Zurich, Spring 2018)

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thw1021/DSRRANS

Discovering explicit Reynolds-averaged turbulence closures for turbulent separated flows through deep learning-based symbolic regression with non-linear corrections

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Gaiban-Khan/Stock-Price-Prediction

A stock price prediction system built using LSTM.

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santhalakshminarayana/Quotation_Generation_Glove_LSTM_Pytorch

Quotation generation using LSTM - Pytorch with custom embeddings trained with Glove model.

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HRSadeghi/NeuralPersianPoet

Neural Persian Poet: A sequence-to-sequence model for composing Persian poetry

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aartighatkesar/Deep-Learning-Fundamentals

Implementation of various basic layers forward and back propagation. CS 231n Stanford Spring 2018: Convolutional Neural Networks for Visual Recognition. Solutions to Assignments

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takp/stock-price-predictor

🤖 Predicting the stock price using LSTM (Deep Learning)

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amycardoso/retrieval-based-chatbot

Analysis Of The Context Size Impact In Deep Learning Conversational Systems

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RegaipKURT/Artificial_Intelligence_PYTHON

Artificial İntelligence Python Codes

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priyanshu2015/Weather-Forecasting

Using LSTM model to predict temperature using data of previous 3hours.

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IamAdiSri/auth-id

A hierarchical bi-LSTM model trained to identify the author of a given email (SMAI@IIIT-H 2017)

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0zgur0/STAckable-Recurrent-network

[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained

Language: Python - Size: 11.6 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 2

ayushgodbole17/Zomato-Sentiment-Analysis

A model to predict rating of a restaurant based on reviews

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nzxtdata/Multivariate-Financial-Time-Series-Forecasting-with-Machine-Learning

Project using FTSE100 & SPX500 macroeconomic stock price data to forecast the close price of each dataset. Using Multivariate Vector Autoregressive Model (VAR), Vector Autoregressive moving-average Model (VARMA), Long Short-Term Memory Model (LSTM) & Encoder-Decoder LSTM

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utkarsh-iitbhu/Sentimental-Analysis

Model can classify speech into Positive, Neutral and Negative with there probabilities.

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Venn1998/NLP

Projects for the Natural Language Processing course: FakeNews classifier and Sentiment Analysis

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EX1ST3NCE/Predictive_Maintenance_of_aircraft_engines

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virchan/a_text_generator_on_moby_dick

A text generator trained on the novel "Moby Dick" is provided here.

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akshay-alpha/Deep-Learning

Deep-Learning Projects

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menardai/chromecast_vad

RNN implementation of a voice activity detector to control Chromecast device volume.

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kochlisGit/LSTM-Stock-Predictions

Prediction of Stock price using Recurrent Neural Network (RNN) models. Contains GRU, LSTM, Bidirection LSTM & LSTM combinations with GRU units. The models were deveoped using the keras module from Tensorlfow.

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dimi-fn/Emotion-Recognition-in-Movie-Abstracts

Original dissertation title: "Extract Emotional Tags from Movie Synopses". The identification, definition, and automatic prediction of a set of emotions in movies, based on their movie abstracts and various metadata.

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corneliusgdahling/Predicting-sensor-values-using-LSTM

Long Short-Term Memory network for predicting sensor values

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sadmanca/lstm-stock-predictor

Training an LSTM neural network to predict stock prices.

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3ZadeSSG/Minor-Project-Sentiment-Analysis

Minor Project - Sentiment Analysis Model

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dylanzenner/lstm_optimization

This repo contains the final project for EE 608. In this project we try and optimize an LSTM model to predict the stock prices of Nvidia.

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Smarker/predict-ether

python meetup slides

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OmerShubi/DL_VQA

Visual Question Answering (VQA) Model

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saminens/Detecting-Equipment-Failure-Using-LSTM-Autoencoder

Industry Practicum: Jan 2020 - Mar 2020

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AI-PROJECTS-ORGANIZATION/Time-Series-Analysis-and-Forecasting

Time Series Analysis and Forecasting

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dglttr/dengai

Predict cases of dengue fever on Iquitos (Peru) and San Juan (Puerto Rico). Challenge from DrivenData.org (https://www.drivendata.org/competitions/44/dengai-predicting-disease-spread/page/82/).

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Rahulraj31/Fake-News-LSTM

Fake news Classifier using LSTM- NLP

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gabrieltx/LSTM-Quality-Prediction

A LSTM neural network used to predict quality in a mining industry process

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tompntn/LSTM-RNN

Implementation of a Recurrent Neural Network with LSTM cells, in pure Python.

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amasotti/poetryGenerator_it

Italian poetry generator with a bidirectional LSTM

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alex21th/financial-deeplearning

Study on the application of the LSTM state-of-art language modeling deep learning architecture to the analysis of Bitcoin financial time series. 💰

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RajK853/Hand_Movement_Recognition

Hand movement recognition using BBC Microbit

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StockGram/Abstractive-Document-Summarizer

This repo contains the code for summarizing financial reports with increased factual correctness for quantitative researchers.

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sekharvth/dinosaur-name-generation-keras

Name your own dinosaurs

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PeterGemmell/Stock_Price_Predictor

This Python programme aims to give a prediction of the future price of a particular stock using the past 60 day closing price. This involves the use of an RNN called LSTM. Implements TensorFlow, with data being presented via Matplotlib.

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riven314/End2End-Controllable-Instagram-Captioning

An end-to-end approach to build an image captioning model with engaging captions and controllable attributes

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MohamedAliHabib/Stock-Price-Predictor

Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.

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ewliang/Stock-Predictor

A simple stock predictor webapp using brain.js LSTM neural network.

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maitree7/Stock_Predictor_LSTM

Using Deep Learning RNN, build and evaluate the Bitcoin Closing prices(Compare the FNG indicator vs. Previous Closing Prices)

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xga0/SarcasmDetection

A Sarcasm Detection Model with LSTM and GloVe Pre-trained Word Vectors.

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jay4842/HCI_StoryTeller

Language: Python - Size: 274 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

shubhanshu786/Stock_Price_Prediction

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sushant1827/Generating-TV-Scripts

Deep Learning Nanodegree Project : To generate Simpsons TV scripts using part of the Simpsons data-set of scripts from 27 seasons.

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amoazeni75/sequence-classification-movie-reviews

In this project we are going to create a network to predict a category for the sequence.

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parthbhide/Copy-cat-Bot

Generate plausible new text which looks like some other text !!

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gnebbia/lstm_predictor

A Univariate Time Series Forecasting with Python+Keras

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VeeShostak/tensorflow-seq2seq-chat-bot

Tensorflow chatbot based on the seq2seq model, trained on a twitter chat log

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parrondo/tutorial-LSTM

Tutorial-LSTM: Project for testing LSTM time series forecasting. See notebooks for complete information

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