Search results for tensorflow lstm neural networks

lstm-neural-networks x

tensorflow x

47 search results found

Deep Learning Time Series ⭐ 1,811

List of papers, code and experiments using deep learning for time series forecasting

Paraphraser ⭐ 381

Sentence paraphrase generation at the sentence level

Ml Projects ⭐ 243

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Scribe ⭐ 234

Realistic Handwriting with Tensorflow

Awesome Tensorlayer ⭐ 212

A curated list of dedicated resources and applications

Chameleon_recsys ⭐ 202

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

Abnormal_event_detection ⭐ 172

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Phasedlstm Keras ⭐ 138

Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]

Image Caption Generator ⭐ 136

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Question Answering ⭐ 128

TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.

Deep Learning Coursera ⭐ 102

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Aspect Based Sentiment Analysis ⭐ 88

Aspect Based Sentiment Analysis

Object Tracking ⭐ 86

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

Lstm Text Generation ⭐ 70

Tons of fun with text and recurrent neural networks! Let your computer read a book and tell you its own story. 🤣

Cs224n_project ⭐ 65

Neural Image Captioning in TensorFlow.

Textgen ⭐ 61

Almost state of art text generation library

Sarcasm Detection ⭐ 52

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Human Activity Recognition Using Recurrent Neural Nets Rnn Lstm And Tensorflow On Smartphones ⭐ 46

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

A Deep Learning Based Illegal Insider Trading Detection And Prediction Technique In Stock Market ⭐ 42

Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we present an approach that detects and predicts illegal insider trading proactively from large heterogeneous sources of structured and unstructured data using

Drowsydriverdetection ⭐ 39

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

Rnn_sent ⭐ 34

Recurrent neural networks and Dynamic memory networks for sentiment classification

Lstm Rnn Vad ⭐ 34

Voice Activity Detection LSTM-RNN learning model

Deep Learning ⭐ 31

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.

Tesla Stocks Prediction ⭐ 29

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

Lstm Radar Precipitation Forecast ⭐ 28

A model for short-term precipitation forecasting based on radar data

Tensorflow Sentiment Analysis On Amazon Reviews Data ⭐ 23

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

Stock Market Probabilities Deep Learning ⭐ 20

Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen.

Deep Learning ⭐ 15

This repo provides projects on deep-learning mainly using Tensorflow 2.0

Emotional_dialogue ⭐ 15

A Deep Reinforcement Learning Approach (LSTM + policy gradient) to create a chatbot that produces coherent, emotional dialogue.

Tariq Ml Models ⭐ 14

This repository contains all my implemented Machine Learning and Deep Learning projects. All my learning from different books and the internet is reflected here. The models are trained on a variety of problems including NLP, CV and other domains. The main focus of this repository is to showcase my learning journey and the projects I have worked on.

Alacpd ⭐ 14

Change-point detection using neural networks

Ocr ⭐ 14

⚙️ Optical Character recognition using deeplearning

Rnn_lstm_gesture_recog ⭐ 13

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

Stock_price_forecasting_hybrid_model ⭐ 11

Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)

Ensemble Learning For Tweet Classification Of Hate Speech And Offensive Language ⭐ 10

Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting

Cs229 Machine Learning Solar Energy Predictions ⭐ 10

Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are included.

Image_caption_generator ⭐ 9

An Image captioning web application combines the power of React.js for front-end, Flask and Node.js for back-end, utilizing the MERN stack. Users can upload images and instantly receive automatic captions. Authenticated users have access to extra features like translating captions and text-to-speech functionality.

Kcn Audio Classification ⭐ 9

Classification of drum samples using dilated convolutions

Timeseries Lstm Keras ⭐ 8

Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras base on tutorial of Jason Brownlee

Music Generation ⭐ 7

Piano music generation with RNN with Tensorflow

Genre Melodies ⭐ 7

Create genre-specific melodies using Magenta

Emoji Prediction Using Deep Learning ⭐ 7

This project aims to understand the underlying semantics of the text sentence using natural processing techniques to predict reasonable emojis based on the context.

Show_attend_tell ⭐ 7

Caption generator for live camera feed

Learning2learn ⭐ 6

This repository implements the architecture proposed by Verdon et al. in the paper Learning to learn with quantum neural networks via classical neural networks, using PennyLane and TensorFlow.

Sign Language Translator ⭐ 6

Neural Network that is able to translate any sign language into text.

Bazingabot ⭐ 5

Simple but effective Knowledge-bot built with Seq2Seq and LSTM

Cs224n Natural Language Processing Solutions ⭐ 5

My assignment solutions for the CS224n course offered by Stanford on natural language processing with deep learning.

Movement Classification ⭐ 5

Classification of movement types like walking, running using motion capture(BVH) file from CMU dataset.

Deep Learning ⭐ 5

This repo is the continuation of the Machine-Learning repo. Here I'm gonna to upload all the examples and exercises which I'll do to learn deep learning techniques and all the problems I'll solve using these last few.