long-short-term-memory-models

There are 2 repositories under long-short-term-memory-models topic.

ShashwatArghode / Wind-Energy-Prediction-using-LSTM
Time Series Analysis using LSTM for Wind Energy Prediction.
deep-learning long-short-term-memory-models lstm lstm-neural-networks prediction renewable-energy
Language:Jupyter Notebook 78
pesoto / Text-Analysis
Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
gibbs-sampling expectation-maximization web-scraping lda latent-dirichlet-allocation text-mining text-prediction skipgram neural-network textual-analysis gradient-descent python machine-learning word-embeddings word-embedding word2vec scraping-websites text-processing lstm long-short-term-memory-models
Language:Jupyter Notebook 55
MrinmoiHossain / Udacity-Deep-Learning-Nanodegree
The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.
deep-learning neural-network convolutional-neural-networks recurrent-neural-networks generative-adversarial-network long-short-term-memory-models pytorch nlp transfer-learning convolutional-networks sentiment-analysis nanodegree rnn udacity udacity-nanodegree style-transfer gans lstms machine-learning
Language:Jupyter Notebook 51
MuhammedBuyukkinaci / TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data
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.
tensorflow long-short-term-memory-models sentiment-analysis sentiment-classification amazon-reviews tensorflow-examples tensorflow-tutorials tensorflow-gpu tensorflow-experiments tensorflow-api gated-recurrent-units gated-recurrent-unit gru lstm lstm-neural-networks lstm-sentiment-analysis lstm-sentiment-classification low-level text-classification text-classifier
Language:Python 51
abhinav23dixit / Text-and-Content-Based-Image-Retrieval
An image captioning based image retrieval model which can be used both via GUI and command line
deep-learning convolutional-neural-networks long-short-term-memory-models machine-learning
Language:Python 29
floydhub / time-sequence-prediction
FloydHub porting of Pytorch time-sequence-prediction example
deep-learning pytorch pytorch-tutorial lstm long-short-term-memory-models sequence-prediction floydhub
Language:Python 28
safrooze / LSTNet-Gluon
Time-series prediction with LSTNet in Apache MXNet Gluon
mxnet gluon time-series time-series-prediction deep-learning recurrent-neural-networks long-short-term-memory long-short-term-memory-models lstm lstm-model
Language:Python 22
AFAgarap / dl-relu
Deep Learning using Rectified Linear Units (ReLU)
artificial-intelligence artificial-neural-networks classification classifier computer-vision convolutional-neural-networks deep-learning deep-neural-networks keras keras-models keras-neural-networks keras-tensorflow long-short-term-memory-models machine-learning multilayer-perceptron neural-networks recurrent-neural-networks supervised-learning tensorflow vgg16
Language:Jupyter Notebook 21
Ewenwan / Learn_TensorFLow
学习 TensorFLow 线性&逻辑回归多层感知机神经网络自编码循环神经网络优化记录
tensorflow linear-regression logistic-regression convolutional-neural-networks long-short-term-memory-models tensorboard
Language:Python 20
rupakc / Kaggle-Compendium
Baseline Python Scripts for Popular Kaggle Competitions
machine-learning data-science kaggle baselines deep-learning convolutional-neural-networks recurrent-neural-networks long-short-term-memory-models keras-neural-networks gru
Language:Python 16
TejasNaikk / DriverDrowsiness_Detection
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
computer-vision drowsy-driver-warning-system deep-learning deep-neural-networks rnn recurrent-neural-networks lstm long-short-term-memory-models machine-learning
Language:Python 16
ShreshthSaxena / Algorithmic-Trading
LSTM stock prediction and backtesting
algorithmic-trading stock-price-prediction stock-analysis lstm machine-learning long-short-term-memory-models data-augmentation deep-learning stock-market finance statistical-analysis
Language:Jupyter Notebook 13
ayanavasarkar / rnn_lstm_gesture_recog
For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow
tensorflow recurrent-neural-networks lstm-neural-networks rnn-tensorflow long-short-term-memory-models
Language:Python 11
domarps / papers-i-read
Summaries and notes on recent Deep Learning literature
convolutional-neural-networks deep-learning long-short-term-memory-models reinforcement-learning tensorflow pytorch
11
sourcecode369 / deep-natural-language-processing
Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.
tensorflow deep-learning natural-language-tasks nlp chatbot image-captioning image-classification language-modeling machine-translation memory-networks music-generation question-answering recurrent-neural-networks long-short-term-memory-models gated-recurrent-units transformer-architecture attention-mechanism seq2seq-model text-summarization word-embeddings
Language:Jupyter Notebook 11
ttungl / Deep-Learning
Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and Recurrent Neural Networks (RNNs) for text and sequences with Long Short-Term Memory (LSTM) networks.
deep-learning recurrent-neural-networks convolutional-networks regularization tensorflow word2vec lstm machine-learning long-short-term-memory-models dropout stochastic-gradient-descent relus
Language:Jupyter Notebook 11
patelrajnath / rnn4nlp
This contains RNN based word level quality estimation, and Part-of-Speech-Tagger
quality-estimation pos-tagger deep-learning natural-language-processing recurrent-neural-networks long-short-term-memory-models
Language:Python 8
soheil-mp / Simpson-script-generator
Generating the Simpsons TV scripts using RNNs and LSTMs. The scene is among homer simpson, moe szyslak, and barney gumble.
long-short-term-memory-models lstm rnn simpsons tv-script-generation
Language:Jupyter Notebook 7
Lanbig / spam-detection-tensorflow-lstm
Using RNN/LSTM to classify spam/not spam
tensorflow neural-network python long-short-term-memory-models
Language:HTML 6
sfailsthy / char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM,RNN) for character-level language models in Python using Tensorflow.
char-rnn deep-learning long-short-term-memory-models natural-language-processing recurrent-neural-networks tensorflow
Language:Python 5
childish-zamboni / bleepr
Predicting and censoring profanities. Winner of best idea at U of T St. George's Local Hack Day.
long-short-term-memory-models machine-learning recurrent-neural-networks
Language:JavaScript 4
HarishB99 / application_of_ai_in_cyber_security
To investigate the various deep learning techniques available to solve selected cyber security related problems.
artificial-intelligence deep-neural-networks convolutional-neural-networks long-short-term-memory-models malware-analysis
Language:Jupyter Notebook 4
aayushkumarjvs / Deep-Crypto-Predict
Using novel RNN-LSTM architecture for cryptocurrency market analysis
cryptocurrency deep-learning long-short-term-memory-models temporal-data
Language:Jupyter Notebook 3
ljingsheng / Named-Entity-Recognition
Chinese NER Demo Project Basing on LSTM and Aiming at General Concepts
neural-network named-entity-recognition natural-language-processing long-short-term-memory-models
Language:Python 3
carlb15 / Dinosaur_Island_Character_Lvl_Language_Model
Character Level RNN for generating dinosaur names.
deep-learning deep-neural-networks machine-learning recurrent-neural-networks character-generator long-short-term-memory-models lstm numpy keras rnn
Language:Jupyter Notebook 2
fpifarre / Classic-AI
Machine Learning project to generate classical music based on previous scores using Tensorflow
machine-learning tensorflow keras-tensorflow classical-music music21 artificial-neural-networks long-short-term-memory-models keras machine-learning-algorithms machine-learning-tutorials music rnn lstm
Language:Jupyter Notebook 2
kplachkov / Deep-Learning
Essential deep learning algorithms, concepts, examples and visualizations with TensorFlow. Popular and custom neural network architectures. Applications of neural networks.
activation-functions artificial-intelligence-algorithms autoencoders cnn convolutional-neural-networks data-science deep-belief-network deep-learning language-modeling linear-regression long-short-term-memory-models lstm-model neural-network neural-network-algorithm neural-network-architectures neural-network-example recommendation-system recurrent-neural-networks restricted-boltzmann-machine tensorflow-tutorials
Language:Jupyter Notebook 2
muhamuttaqien / LQ-Repository
👨🏻‍💻 My own repository to explore LearnQuran tech product in particular -obviously- AI stuffs
quran python-script artificial-intelligence natural-language-processing word2vec bigram-model word-embeddings recurrent-neural-networks long-short-term-memory-models gated-recurrent-units
Language:Jupyter Notebook 2
sumanismcse / Using-LSTM-network-for-Sentiment-Analysis
Using Long Short Term Memory Model and Recursive Neural Network for Sentiment Analysis to use in the automated therapeutic app as an input to read intent of user in Google's cloud natural language processing service 'dialogflow' and on that basis we provide low cost therapy
colab-notebook jupyter-notebook long-short-term-memory long-short-term-memory-models lstm lstm-model lstm-neural-networks lstm-sentiment-analysis movie-reviews onnx onnx-backend onnx-tf python pytorch pytorch-implementation sentiment-analyser sentiment-analysis sentiment-classification sentiment-classifier sentiment-polarity
Language:Jupyter Notebook 2
ChrisNick92 / SpokenDigitRecognition
Messing around with sequential deep learning models for the task of spoken digit recognition
audio audio-processing audio-signal-processing classification deep-learning librosa long-short-term-memory-models transformers
Language:Jupyter Notebook 1
christofel04 / ASTMS-Autonomous-Smart-Traffic-Management-Systems
ASTMS : Autonomous Smart Traffic Management System Leveraging Artificial Intelligence CNN and Long Short Term Memory
artificial-neural-networks autonomous-vehicle carla-simulator convolutional-neural-network long-short-term-memory-models machinelearning recurrent-neural-network simulators smart-traffic
Language:Jupyter Notebook 1
isaaccs / Insurance-reports-through-deep-neural-networks
Insurance reports through deep neural networks
insurance deep-neural-networks long-short-term-memory-models convolutional-neural-networks text-analysis natural-language-processing insurance-claims python paper insurance-reports automatic-analysis unbalanced-data
Language:Python 1
mabirck / Generic_Seq2Seq
I replicate and make the original Seq2Seq from PyTorch tutorials to be easy to use and adapt.
seq2seq-model seq2seq-attn pytorch neural-networks nn deep-learning deep-neural-networks lstm lstm-neural-networks long-short-term-memory-models
Language:Python 1
NWAPWKAGGLE / music
Using ML to generate music
machine-learning music-generation generative-adversarial-network lstm tensorflow midi artificial-intelligence gan ml ai rnn long-short-term-memory-models python3
Language:Python 1
omkarsarde / Voice-Sentiment-Analyzer
A Voice Sentiment Analyzer using Long Short Term Memory (LSTM) to predict mood of the user from voice
nlp-machine-learning natural-language-processing long-short-term-memory-models machine-learning artificial-intelligence
Language:Jupyter Notebook 1
NRHartFRC / LSTM-Modeling
Attempt to predict the expected price for the following day using Long Short Term Memory method using Keras sequential API for deep learning applications. This program determines a target and date range, trains a model using a generational neural network, then outputs both a plot and the predicted output price for the following day.
colaboratory jupyter-notebook keras-tensorflow long-short-term-memory-models neural-network predicting python sequential-models yahoo-finance
Language:Jupyter Notebook 0

long-short-term-memory-models

ShashwatArghode / Wind-Energy-Prediction-using-LSTM

pesoto / Text-Analysis

MrinmoiHossain / Udacity-Deep-Learning-Nanodegree

MuhammedBuyukkinaci / TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data

abhinav23dixit / Text-and-Content-Based-Image-Retrieval

floydhub / time-sequence-prediction

safrooze / LSTNet-Gluon

AFAgarap / dl-relu

Ewenwan / Learn_TensorFLow

rupakc / Kaggle-Compendium

TejasNaikk / DriverDrowsiness_Detection

ShreshthSaxena / Algorithmic-Trading

ayanavasarkar / rnn_lstm_gesture_recog

domarps / papers-i-read

sourcecode369 / deep-natural-language-processing

ttungl / Deep-Learning

patelrajnath / rnn4nlp

soheil-mp / Simpson-script-generator

Lanbig / spam-detection-tensorflow-lstm

sfailsthy / char-rnn-tensorflow

childish-zamboni / bleepr

HarishB99 / application_of_ai_in_cyber_security

aayushkumarjvs / Deep-Crypto-Predict

ljingsheng / Named-Entity-Recognition

carlb15 / Dinosaur_Island_Character_Lvl_Language_Model

fpifarre / Classic-AI

kplachkov / Deep-Learning

muhamuttaqien / LQ-Repository

sumanismcse / Using-LSTM-network-for-Sentiment-Analysis

ChrisNick92 / SpokenDigitRecognition

christofel04 / ASTMS-Autonomous-Smart-Traffic-Management-Systems

isaaccs / Insurance-reports-through-deep-neural-networks

mabirck / Generic_Seq2Seq

NWAPWKAGGLE / music

omkarsarde / Voice-Sentiment-Analyzer

NRHartFRC / LSTM-Modeling