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Projects in Awesome Lists tagged with rnn-tensorflow

A curated list of projects in awesome lists tagged with rnn-tensorflow .

https://github.com/lilianweng/stock-rnn

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

embeddings lstm rnn-tensorflow stock-price-prediction

Last synced: 15 May 2025

https://github.com/hunkim/word-rnn-tensorflow

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

lstm python rnn rnn-tensorflow tensorflow

Last synced: 16 May 2025

https://github.com/sjchoi86/advanced-tensorflow

Little More Advanced TensorFlow Implementations

char-rnn gan rnn-tensorflow tensorflow tensorflow-implementations

Last synced: 07 Apr 2025

https://github.com/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.

android-application androidstudio deep-learning hidden-units human-activities lstm-neural-networks machine-learning pickle proof-of-concept pycharm-ide python3 rnn-tensorflow scikit-learn smartphone-accelerometer

Last synced: 12 Apr 2025

https://github.com/lucko515/tesla-stocks-prediction

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

deep-learning lstm-neural-networks machine-learning rnn-tensorflow stock-price-prediction tensorflow

Last synced: 14 Apr 2025

https://github.com/abishekvashok/rep-counter

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

artificial-intelligence deep-learning machine-learning neural-networks posenet repetion-counter repetition rnn rnn-tensorflow tensorflow

Last synced: 22 Mar 2025

https://github.com/applenob/pick_a_name

:smile: 从此爸妈没烦恼!!!

rnn-tensorflow

Last synced: 10 Apr 2025

https://github.com/mounalab/LSTM-RNN-VAD

Voice Activity Detection LSTM-RNN learning model

lstm lstm-neural-network nlp-machine-learning rnn rnn-tensorflow tensorflow vad

Last synced: 07 May 2025

https://github.com/t04glovern/stylegan-pokemon

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

pokemon rnn rnn-tensorflow stylegan stylegan-model tensorflow

Last synced: 11 Apr 2025

https://github.com/nazanin1369/stockpredictor

Predict stock movement with Machine Learning and Deep Learning algorithms

deep-learning lstm-neural-networks rnn-tensorflow stock stock-market

Last synced: 21 Mar 2025

https://github.com/farshidnooshi/tensorflow-notebooks

A collection of notebooks with TensorFlow and the Keras API for various deep-learning and machine learning problems

cnn-keras deep-learning keras lstm machine-learning neural-network nlp-machine-learning rnn rnn-tensorflow tensorflow tensorflow-examples tensorflow-tutorials

Last synced: 09 Feb 2025

https://github.com/fractalego/subjectivity_classifier

Detects if a sentence is in a subjective or objective form

nlp rnn-tensorflow subjectivity

Last synced: 23 Mar 2025

https://github.com/luiscib3r/solar-rad-forecasting

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

convolutional-neural-networks data-science deep-learning forecasting machine-learning rnn rnn-tensorflow

Last synced: 06 Apr 2025

https://github.com/vlievin/char-vae

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

generative-model rnn rnn-encoder-decoder rnn-tensorflow tensorflow tensorflow-experiments tensorflow-models vae vrae

Last synced: 09 Feb 2025

https://github.com/blurred-machine/rnn-based-stock-price-prediction-using-lstm

This repository will consist of a Long Short-Term Memory implementation of a Recurrent Neural Network used to predict the stock prices of Google Stocks for the next working day based on their past few days opening price trends.

google-stocks lstm-neural-networks machinelearning python regression-models rnn-tensorflow stock-price-prediction

Last synced: 27 Apr 2025

https://github.com/amitkumarj441/bitcoin-price-prediction

Predict Bitcoin Price using Recurrent Neural Network

bitcoin-api numpy python-library rnn-tensorflow seq2seq-model

Last synced: 14 Apr 2025

https://github.com/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.

cnn cnn-keras cnn-tensorflow image-caption-generator image-captioning jupyter-notebook keras python rnn rnn-tensorflow tensorflow

Last synced: 22 Nov 2024

https://github.com/smoke-trees/sparc

Smart Grid solution which compiles home networks and grids in an effecient manner, controlled by recurrent networks which predict distribution and consumption and also supported by an energy credit system. All running as microservices supporting each other.

microservice rnn-tensorflow smart-grid smart-home

Last synced: 22 Nov 2024

https://github.com/uragirii/friends-generator

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

friends gru-model lstm lstm-neural-networks natural-language-processing nlp rnn rnn-lstm rnn-tensorflow tensorflow-tutorials tensorflow2 tv-series tv-shows

Last synced: 13 Apr 2025

https://github.com/ashnkumar/sumz_seq2seq

The model code for the chrome extension (Sumz) that implements a sequence to sequence model for summarizing Amazon reviews, using Tensorflow 1.1 and the Amazon Fine Foods reviews dataset.

amazon chrome-extension deep-learning rnn-tensorflow sequence-to-sequence tensorflow

Last synced: 13 May 2025

https://github.com/fitushar/multi-label-annotation-text-reports-body-ct

There is progress to be made in building artificially intelligent systems to detect abnormalities that are not only accurate but can handle the true breadth of findings that radiologists encounter in body (chest, abdomen, and pelvis) Computed Tomography (CT). Currently, the major bottleneck for developing multi-disease classifiers is a lack of manually annotated data. The purpose of this work was to develop high throughput multi-label annotators for body CT reports that can be applied across a variety of abnormalities, organs, and disease states thereby mitigating the need for human annotation.

attention-mechanism ct-report nlp-machine-learning python-3 python-regex-extractor radiology-report-annotation radiology-reports rnn-tensorflow rule-based-modeling tensorflow2

Last synced: 01 Jan 2025

https://github.com/mauroluzzatto/story-cloze-task

Solving the story cloze task with sentence embeddings (TensorFlow).

nlp python rnn-tensorflow sentence-embeddings story-cloze-task

Last synced: 26 Apr 2025

https://github.com/alienobserver/keyword-spotting

Keyword Spotting using RNN with Attention layers

attention-lstm deep-learning keyword-spotting rnn-tensorflow

Last synced: 28 Apr 2025

https://github.com/akshadk7/production_forecasting

Time Series Forecasts for Energy Production using LSTM based RNNs

forecasting lstm-neural-networks rnn-tensorflow time-series

Last synced: 26 Feb 2025

https://github.com/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.

attention-mechanism bagofwords flask-application gensim-doc2vec gensim-word2vec glove-embeddings lemmatization lstm-neural-networks nlp-machine-learning nltk-python restapi-framework rnn-tensorflow stemming tensorflow2 word2vec-embeddinngs word2vec-model

Last synced: 10 Apr 2025

https://github.com/dineshh912/machine-learning

Machine Learning basic model building with sci kit and create algorithm from scratch and many more

algorithm machine-learning python3 rnn-tensorflow scikit-learn tensorflow

Last synced: 01 Mar 2025

https://github.com/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.

binance bitcoin btc data-science eda finance lstm machine-learning modeling predictability price rnn-tensorflow series-forecasting time

Last synced: 10 Apr 2025

https://github.com/blob42/tv-script-generation

Simpsons script generators using RNNs with Tensorflow

deep-learning-nano-degree generative-model lstm lstm-model nd101 rnn rnn-tensorflow

Last synced: 05 Apr 2025

https://github.com/shahab-esfandiar/taxidemand-prediction-using-deeplearning

Develope a CNN-LSTM model with Multi-Head Attention mechanism model to Predict Taxi demand

cnn-keras data-science deep-learning pandas python rnn-tensorflow streamlit-webapp taxi-data

Last synced: 19 Dec 2024

https://github.com/lucko515/sentiment-analysis

In this mini-project I have implemented LSTM network to classify movie reviews for sentiment analysis task.

deep-learning lstm movie-review-datasets rnn-tensorflow sentiment-analysis

Last synced: 06 Dec 2024

https://github.com/furk4neg3/textemotionrecognition

In this project, I've created AI models to predict emotion based on texts. I've used RNN and transfer learning for that. Best model works with 96% accuracy.

artificial-intelligence deep-learning machine-learning nlp rnn rnn-tensorflow tensorflow tensorflow2 transfer-learning

Last synced: 06 Apr 2025

https://github.com/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.

lstm-model rnn-tensorflow stock-price-prediction streamlit-dashboard

Last synced: 05 Mar 2025

https://github.com/thomasthaddeus/neuralnetworks

Imagery pipeline utilizing neural networks

cnn-keras greedy-algorithms knn-regression python rnn-tensorflow

Last synced: 15 Mar 2025

https://github.com/camara94/text-from-image

Dans ce projet j'ai utilisé la librairie EasyOCR qui est un projet open source de deep learning, qui permet d'extraire facilement du text à partir des images.

algorithms data-visualization datanalysis deep-learning machine-learning python3 rnn-tensorflow

Last synced: 09 Apr 2025

https://github.com/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.

deep-learning deep-neural-networks deeplearning keras keras-tensorflow nlp rnn rnn-tensorflow sentiment-analysis tenserflow

Last synced: 07 Apr 2025

https://github.com/sarthak-1408/classifier-projects

Some Classification related Projects - (Breast Cancer Detection using KNN , LogisticRegression and Spam mail Classifier using SVM ) , Fake News Classification.

classification-algorithm machine-learning machine-learning-algorithms nlp-machine-learning rnn-tensorflow

Last synced: 06 Mar 2025

https://github.com/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.

bidirectional-lstm generativeai python recurrent-neural-networks rnn-tensorflow sequential-models tensorflow

Last synced: 23 Mar 2025

https://github.com/kmedian/keras-layernorm-rnn

RNNs with layer normalization; Prep package for tensorflow/addons, see v0.8.2, and commit https://github.com/tensorflow/addons/commit/cdb43ffd7e4b89d6ce8cdadcd62fec46c7f0f7fa

keras layer-normalization recurrent-neural-network rnn rnn-keras rnn-tensorflow simplernn tensorflow

Last synced: 04 Mar 2025

https://github.com/abhigyan126/eng-to-hin-translator

This project is a technology demonstrator for performing English to Hindi translation on images using OCR using pre-trained model

depplearning eng-hin engl hindi nlp rnn-tensorflow seq2seq tensorflow translation

Last synced: 30 Mar 2025

https://github.com/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.

artificial-neural-networks convolutional-neural-networks deeplearning generative-ai rnn-tensorflow

Last synced: 18 Feb 2025

https://github.com/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

llm lstm rnn-pytorch rnn-tensorflow rrna-prediction

Last synced: 01 Mar 2025

https://github.com/vigneswaran-chandrasekaran/flipflop_experiments

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

rnn-tensorflow sequential-models

Last synced: 02 Mar 2025

https://github.com/alihassanml/next-word-prediction-using-lstm

This repository contains a Streamlit application for predicting the next word in a given text input using an LSTM model. The application leverages TensorFlow and a pre-trained LSTM model to generate word predictions.

deep-learning lstm-neural-networks next rnn-tensorflow tensorflow wordprediction

Last synced: 21 Feb 2025

https://github.com/carloocchiena/rnn_text_generation

RNN for text generation from models with Keras and Tensorflow

keras python rnn rnn-tensorflow tensorflow

Last synced: 21 Mar 2025

https://github.com/chdl17/comment-toxicity

Project is all about build a deep learning model to identify toxic comments using LSTM

keras-tensorflow lstm-neural-network lstm-neural-networks rnn-tensorflow tensorflow2

Last synced: 24 Feb 2025

https://github.com/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.

deep-neural-networks dnn gated-recurrent-units gru lstm online-speech-recognition recurrent-neural-networks rnn rnn-tensorflow rnnt sequence-to-sequence speech-to-text tensorflow transformer-transducer

Last synced: 27 Mar 2025

https://github.com/kkeshav1101/nlp

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

bag-of-words keras-tensorflow lstm nlp nltk python rnn-tensorflow tensorflow tfidf-vectorizer word2vec

Last synced: 07 May 2025

https://github.com/charancholaveti/imdb-sentimentanalysis

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

deeplearning keras numpy rnn-tensorflow tensorflow

Last synced: 05 Apr 2025

https://github.com/akaliutau/tensorflow-grimoire

Advanced topics in Deep Learning with tensorflow

cnn-keras deep-learning rnn-tensorflow tensorflow2 transformers

Last synced: 24 Feb 2025

https://github.com/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.

lstm-neural-networks python rnn-tensorflow streamlit

Last synced: 13 Mar 2025

https://github.com/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.

ai csv-files gpt machine-learning neural-networks nlp-machine-learning numpy pandas-library poetry-generator rnn-tensorflow training-dataset

Last synced: 12 Mar 2025

https://github.com/arjunravi26/deep_learning

This repo contains codes and notes to learn deep learning

ann autoencoders cnn deep-learning deepseek-r1 lstm numpy rnn-tensorflow tensorflow transformer

Last synced: 11 Jun 2025

https://github.com/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.

deep-neural-networks lstm-model rnn-tensorflow simplernn

Last synced: 17 Jun 2025

https://github.com/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

data-science keras python rnn-tensorflow sentiment-analysis

Last synced: 06 Mar 2025

https://github.com/nitinprakash96/rnn-tf

This is an attempt to implement a Recurrent Neural Network from Scratch backed with TensorFlow

deep-learning neural-network rnn rnn-tensorflow tensorflow tensorflow-tutorials

Last synced: 06 Mar 2025