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: about 1 month ago - Pushed at: almost 3 years ago - Stars: 1,882 - Forks: 677

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: about 1 month ago - Pushed at: over 5 years ago - Stars: 1,302 - Forks: 489

gy910210/rnn-from-scratch

Implementing Recurrent Neural Network from Scratch

Language: Python - Size: 3.09 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 441 - Forks: 152

crazydonkey200/tensorflow-char-rnn

Char-RNN implemented using TensorFlow.

Language: Python - Size: 5.55 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 426 - Forks: 267

sjchoi86/advanced-tensorflow

Little More Advanced TensorFlow Implementations

Language: Jupyter Notebook - Size: 55.7 MB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 371 - Forks: 115

gabrielspmoreira/chameleon_recsys

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

Language: Python - Size: 715 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 276 - Forks: 81

google/e3d_lstm

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

Language: Python - Size: 97.7 KB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 199 - Forks: 57

Disiok/poetry-seq2seq

Chinese Poetry Generation

Language: Jupyter Notebook - Size: 77.3 MB - Last synced at: 3 months ago - Pushed at: almost 8 years ago - Stars: 177 - Forks: 64

AFAgarap/gru-svm

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

Language: Python - Size: 98 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 135 - Forks: 38

gsurma/text_predictor

Char-level RNN LSTM text generator📄.

Language: Python - Size: 125 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 116 - Forks: 35

PacktPublishing/Hands-On-Deep-Learning-Algorithms-with-Python

Hands-On Deep Learning Algorithms with Python, By Packt

Language: Jupyter Notebook - Size: 80.4 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 106 - Forks: 75

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: 26 days ago - Pushed at: almost 8 years ago - Stars: 84 - Forks: 37

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: over 2 years ago - Stars: 76 - Forks: 32

prakashjayy/medium_blogs

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

Language: Jupyter Notebook - Size: 17.8 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 72 - Forks: 44

lucko515/tesla-stocks-prediction

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

Language: Jupyter Notebook - Size: 607 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 59 - Forks: 42

AvinashNath2/Recurrent-Neural-Network-for-BitCoin-price-prediction

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

Language: Python - Size: 168 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 57 - Forks: 20

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: 3 months ago - Pushed at: over 3 years ago - Stars: 57 - Forks: 12

gsurma/password_cracker

Char-level RNN LSTM password cracker 🔑🔓.

Size: 1.02 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 56 - Forks: 16

mdcramer/Deep-Speeling

Deep Learning neural network for correcting spelling

Language: Python - Size: 674 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 54 - Forks: 14

applenob/pick_a_name

:smile: 从此爸妈没烦恼！！！

Language: Python - Size: 53.3 MB - Last synced at: 3 months ago - Pushed at: over 8 years ago - Stars: 54 - Forks: 16

Nazanin1369/stockPredictor

Predict stock movement with Machine Learning and Deep Learning algorithms

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

mounalab/LSTM-RNN-VAD

Voice Activity Detection LSTM-RNN learning model

Language: Python - Size: 27.3 KB - Last synced at: about 2 months ago - Pushed at: about 7 years ago - Stars: 50 - Forks: 22

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: 5 days ago - Pushed at: over 5 years ago - Stars: 49 - Forks: 10

azminewasi/Machine-Learning-AndrewNg-DeepLearning.AI

Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 47 - Forks: 50

aparajitad60/Stacked-LSTM-for-Covid-19-Outbreak-Prediction

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was first identified in December 2019 in Wuhan, China, and has since spread globally, resulting in an ongoing pandemic. Long Short Term Memories(LSTMs) can solve numerous tasks not solvable by previous learning algorithms for recurrent neural networks (RNNs). LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition and anomaly detection in network traffic or IDS's (intrusion detection systems). LSTMs can also be efficiently applied for time-series predictions. In this project, its shows a four stacked LSTM network for early prediction new Coronavirus dissease infections in some of the mentioned affected countries (India, USA, Czech Republic and Russia) , which is based on real world data sets which are analyzed using various perspectives like day-wise number of confirmed cases, number of Cured cases, death cases. This attempt has been done to help the concerned authorities to get some early insights into the probable devastation likely to be effected by the deadly pandemic.

Language: Python - Size: 17.6 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 40 - Forks: 19

enricivi/adversarial_training_methods

Implementation of the methods proposed in **Adversarial Training Methods for Semi-Supervised Text Classification** on IMDB dataset (without pre-training)

Language: Jupyter Notebook - Size: 167 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 40 - Forks: 10

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: 9 days ago - Pushed at: over 7 years ago - Stars: 40 - Forks: 11

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: about 2 months ago - Pushed at: about 4 years ago - Stars: 37 - Forks: 22

zotroneneis/tensorflow_deep_learning_models

TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)

Language: Jupyter Notebook - Size: 12 MB - Last synced at: 3 months ago - Pushed at: about 7 years ago - Stars: 37 - Forks: 14

laventura/Music.Generation.with.DeepLearning

Generating Music and Lyrics using Deep Learning via Long Short-Term Recurrent Networks (LSTMs). Implements a Char-RNN in Python using TensorFlow.

Language: Jupyter Notebook - Size: 29.5 MB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 34 - Forks: 12

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: 3 months ago - Pushed at: over 4 years ago - Stars: 31 - Forks: 12

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.

Language: Jupyter Notebook - Size: 45.9 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 30 - Forks: 56

FarshidNooshi/TensorFlow-Notebooks

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

Language: Jupyter Notebook - Size: 4.32 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 29 - Forks: 3

fahd09/ArabicRNN

The first AI-based Arabic songwriter.

Language: Jupyter Notebook - Size: 7.59 MB - Last synced at: almost 2 years ago - Pushed at: about 8 years ago - Stars: 29 - Forks: 12

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.

Language: Jupyter Notebook - Size: 6.67 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 27 - Forks: 3

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: 10 days ago - Pushed at: over 5 years ago - Stars: 27 - Forks: 1

fractalego/subjectivity_classifier

Detects if a sentence is in a subjective or objective form

Language: Python - Size: 3.14 MB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 6

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: about 2 months ago - Pushed at: about 2 months ago - Stars: 24 - Forks: 4

rpanchal1996/question-pair

A siamese LSTM to detect sentence/question pairs.

Language: Python - Size: 124 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 24 - Forks: 9

sahasourav17/Student-Anxiety-and-Depression-Prediction

A ML project specifically build for predicting students' mental health

Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 1

felipessalvatore/MyTwitterBot

A Twitter bot powered by a Recurrent Neural Network (RNN)

Language: Python - Size: 9.12 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 21 - Forks: 8

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.

Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 4

tomtom94/stockmarketpredictions

Educational predictions on stock market with Tensorflow.js sequential RNN with LSTM layers on a React web App.

Language: JavaScript - Size: 1.97 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 2

AziziShekoofeh/Time-series-Classification

Classification of Time-series data with RNN

Language: Python - Size: 40 KB - Last synced at: 3 days ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 4

xinzcode/QA_BiLSTM

A QA System based by BiLSTM. 一个基于双向LSTM的智能问答系统，有交互界面、详细注释、多版本、能运行、文件齐全。

Language: Python - Size: 33.2 KB - Last synced at: 7 months ago - Pushed at: about 5 years ago - Stars: 17 - Forks: 4

AIKevin/Pointer_Generator_Summarizer

Pointer Generator Network: Seq2Seq with attention, pointing and coverage mechanism for abstractive summarization.

Language: Python - Size: 50.8 KB - Last synced at: 6 months ago - Pushed at: almost 6 years ago - Stars: 17 - Forks: 8

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

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.

Language: Python - Size: 3.21 MB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 15 - Forks: 9

jimth001/Bi-Seq2Seq

An implementation of "Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems"

Language: Python - Size: 20.5 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 15 - Forks: 5

ankiteciitkgp/botnetDetection

Exploring Botnet Detection with Machine Learning

Language: Jupyter Notebook - Size: 320 KB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 15 - Forks: 11

NahidEbrahimian/RNN

Repository for RNNs using TensorFlow and Keras - LSTM and GRU Implementation from Scratch - Simple Classification and Regression Problem using RNNs

Language: Jupyter Notebook - Size: 766 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 0

emirhanai/Omicron-Variant-RNN-ML-Gen-Prediction-2-Separate-Software--Artificial-Intelligence-in-Health

OMICRON VARIANT RNN & ML GEN PREDICTION (2 Separate Software) - Artificial Intelligence in Health

Language: Jupyter Notebook - Size: 490 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 13 - Forks: 5

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

Generating Video Caption Using LSTM

Language: Python - Size: 122 MB - Last synced at: 26 days ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 1

javonnii/melody_generator_rnn

Generating AI melodies using Google's Magenta

Language: Python - Size: 150 MB - Last synced at: 7 days ago - Pushed at: about 4 years ago - Stars: 12 - Forks: 2

danielwatson6/skip-thoughts

Simple TensorFlow implementation of skip-thought vectors

Language: Python - Size: 63.5 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 4

ayanavasarkar/rnn_lstm_gesture_recog

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

Language: Python - Size: 94.6 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 5

amitkumarj441/Bitcoin-Price-Prediction

Predict Bitcoin Price using Recurrent Neural Network

Language: Python - Size: 12.7 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 11 - Forks: 4

camara94/natural-language-processing-tensorflow

Natural Language processing in tensorflow

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

zhangjiong724/spectral-RNN

STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION

Language: C++ - Size: 32.2 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 10 - Forks: 3

CNUPiedPiper/HARU

A.I Speaker using Raspberry Pi based on RNN

Language: Python - Size: 133 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 10 - Forks: 7

Vvkmnn/voiceAI

🎙 Speech transcription and synthesis via Keras and Tensorflow.

Language: HTML - Size: 91 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 1

waynewu6250/ML_DL_Projects

My own side project gallery to be updated :)

Language: Jupyter Notebook - Size: 355 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 1

tarcisio-marinho/Music-Generation

Piano music generation with RNN with Tensorflow

Language: Python - Size: 827 KB - Last synced at: 3 days ago - Pushed at: over 7 years ago - Stars: 9 - Forks: 3

MingStar/char-rnn-tensorflow Fork of sherjilozair/char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, GRU) for character-level and word-level language models in Python using Tensorflow

Language: Python - Size: 471 KB - Last synced at: over 2 years ago - Pushed at: almost 9 years ago - Stars: 9 - Forks: 0

sondosaabed/Intro-to-tensorFlow-for-deep-learning

Intro to tenserflow for deep learning Course with udacity

Language: Jupyter Notebook - Size: 6.69 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1

Abhradipta/Fake-News-Detection

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

Language: Jupyter Notebook - Size: 41.3 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 8 - Forks: 7

raghavbali/text_generation

Notebooks to better understand text generation

Language: Jupyter Notebook - Size: 91 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 8 - Forks: 6

dmitrinesterenko/cs224d

Contains the problem set solutions from Stanford's cs224d during self study of that course

Language: Python - Size: 200 MB - Last synced at: over 2 years ago - Pushed at: almost 8 years ago - Stars: 8 - Forks: 18

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.

Language: Jupyter Notebook - Size: 1.53 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

anniedotexe/RNN-Twitter-Bot

🤖✏️ A Twitter bot written in Python trained with a recurrent neural network.

Language: Python - Size: 220 KB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1

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.

Language: Jupyter Notebook - Size: 26.5 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 4

18D070001/Heart_sound_classification

this repository contains a Colab notebook to classify the heart sound as normal or abnormal

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 3

Kyziridis/Sound-Recognition

Bird's tweet classification with Deep Learning

Language: Python - Size: 746 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 7 - Forks: 2

omarsar/rnn_introduction_fundamentals

Introduction to the Fundamentals of RNN

Language: Jupyter Notebook - Size: 5.75 MB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 5

3sarojbhattarai/project_rnn

Understanding the architecture of Recurrent Neural Network and implemented them in code using Tensorflow Libraries.

Language: Jupyter Notebook - Size: 3.45 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

dhairya0907/Creepypasta-Text-Generator

Website which uses Deep Learning to generate horror stories.

Language: Jupyter Notebook - Size: 668 MB - Last synced at: 3 months ago - Pushed at: almost 4 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.

Language: Jupyter Notebook - Size: 1.79 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 2

py3-coder/Model-EDA-Analysis-CART

REPO : OPEN SOURCE CONTRI

Language: Jupyter Notebook - Size: 263 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 8

rv20197/COVID-19-Analysis-and-Prediction-Using-AI

Analyzing and Predicting The COVID-19 Global Cases As Well As On The Basis Of Every Possible Individual Country Using Tensorflow and Python

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 5

p3jitnath/Transliteration-Model

RNN model trained on Bengali names, which transliterates (romanizes) Bengali names to English.

Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: 8 months ago - Pushed at: almost 5 years ago - Stars: 5 - 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: 3 months ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 1

rh01/coursera_dl

deep learning specialization course in Coursera, contains nn, CNN, RNN topics.

Language: Jupyter Notebook - Size: 316 MB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 6

briancheang/dr-seuss

Char-RNN generated Dr. Seuss

Language: Jupyter Notebook - Size: 219 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 0

arunarn2/StructuredSelfAttentionTensorflow

Structured Self Attention implementation in tensorflow

Language: Python - Size: 1.21 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 1

ck090/Google_Quick_Draw

A CNN implementation of Google's "Quick, Draw!"

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 3

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.

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 2

cuteboydot/Char-level-Neural-Machine-Translation-using-Attention-Mechanism

Implementation of Character level NMT(Neural Machine Translation) using RNN and Attention Wrapper

Language: Python - Size: 986 KB - Last synced at: 6 months ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 4

vidursatija/MusicNet

Smart Shuffle for iTunes

Language: Python - Size: 113 KB - Last synced at: 3 months ago - Pushed at: almost 8 years ago - Stars: 5 - Forks: 1

ThoroughImages/TensorFlow_RNN_Adaptor

Easily Transfer TensorFlow 0.12 RNN Model File to TensorFlow 1.0.

Language: Python - Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 5 - Forks: 0

priteshgudge/language-translation-tensorflow

Language translation using sequence to sequence technique from deep learning

Language: HTML - Size: 2.42 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 5 - Forks: 1

iajaykarthick/NER-medical-text

This project is to develop a named entity recognition (NER) model to identity medical entities such as diseases, symptoms, treatments in the unstructured medical text written in natural language.

Language: HTML - Size: 10.3 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 1

SamSamhuns/musical_python

Creating artificial music though LSTM Recurrent Neural Networks

Language: C - Size: 16.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 1

Pradnya1208/Image-Caption-Generator

The aim of this project is to build an Image caption Generator using VGG16 model along with transfer learning and Fine-tuning. Checkout the result at: https://www.linkedin.com/posts/pradnya-patil-b049161ba_mittikerang-deeplearing-rnn-activity-6761079847793123329-P_2z

Size: 0 Bytes - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

NouraAlgohary/Deep-Learning-Specialization 📦

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

ElefHead/neuromodulated-brc

Neuromodulated bistable recurrent cell from https://arxiv.org/abs/2006.05252

Language: Python - Size: 361 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

guilhermevarela/deep_srlbr

SRL task using PropBank 1.1

Language: Jupyter Notebook - Size: 4.47 GB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

yousaf530/Customer-Feedback-Sentiment-Analysis-using-LSTM

A Python Flask Based Web App to classify customer reviews sentiments using LSTM RNN

Language: Jupyter Notebook - Size: 8.58 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 0

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.

Language: Python - Size: 2.18 MB - Last synced at: 3 months ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 1

xoire/Forecasting-Stock-Price

Forecasting Stock Price (Independent Capstone project)

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Mehrdad93/Image-captioning-with-RNN-based-attention

Image caption generation using GRU-based attention mechanism

Language: Python - Size: 8.06 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 1