frankiezeager/trap_generator

Code to scrape data and create a trap music generator using LSTM RNN

Language: Python - Size: 3.46 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 1

cdemutiis/LSTM_RNN_Text_generation

Using the book Anna Karenina by Leo Tolstoy as a training source for text generation using RNN and LSTM

Language: Jupyter Notebook - Size: 700 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1

amartya-singh/Electric-Load-Forecasting-Considering-Environmental-Factors-Time-Series

This predicts the future energy demand by using a Multivariate LSTM (Long Short Term Memory) Model i.e. (a kind of Recurrent Neural Network) by considering environmental & time series factors.

Language: Jupyter Notebook - Size: 102 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

georgezoto/RNN-LSTM-NLP-Sequence-Models

Sequence Models repository for all projects and programming assignments of Course 5 of 5 of the Deep Learning Specialization offered on Coursera and taught by Andrew Ng, covering topics such as Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), Long Short Term Memory (LSTM), Natural Language Processing, Word Embeddings and Attention Model.

Language: Jupyter Notebook - Size: 82.7 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 9 - Forks: 4

DmitriyLeaf/NN_pred_german_n

Neural Network for prediction German nouns

Language: Python - Size: 22.4 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

BShakhovsky/PolyphonicPianoTranscription

Recurrent Neural Network for generating piano MIDI-files from audio (MP3, WAV, etc.)

Language: Jupyter Notebook - Size: 7.06 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 195 - Forks: 40

ellapav/recurrent-neural-nets

Long-short term memory (LSTM) model applied to the IMDB dataset

Language: Jupyter Notebook - Size: 350 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

irenepisani/Computational_Neuroscience

Language: MATLAB - Size: 26.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Psarpei/Recognition-of-logical-document-structures

First approach for recognizing logical document structures like texts, sentences, segments, words, chars and sentence/segment depth based on recurrent neural network grammars.

Language: C++ - Size: 79 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1

jonzia/Recurrent_Autoencoder

Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).

Language: Python - Size: 274 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 29 - Forks: 9

amirezzati/music-generator Fork of amirkasaei/An-Odd-Music-Generator

Odd Music generator using RNN models

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pclightyear/Twitter_Emotion_Recognition Fork of EvaArevalo/DM19-Lab2-Homework

Predict the emotion behind the tweets with recurrent neural network

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alex-w-99/AI-Stock-Forecasting

An RNN model which makes consistent next-day stock price predictions, informed by recent market dynamics and NLP sentiment analysis on web scraped stock-specific financial news.

Language: Python - Size: 448 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

zhuofupan/Tensorflow-Deep-Neural-Networks

用Tensorflow实现的深度神经网络。

Language: Python - Size: 161 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 128 - Forks: 56

vimlord/Dumbbot

A RNN-powered context-free chatbot hosted by a NodeJS server.

Language: Python - Size: 15.6 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

oh-yu/vegetable-price-prediction

PyTorch implementation of unidirectional LSTM with Attention applying to the vegetables price prediction problem. In the absence of a license, default copyright laws apply.

Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

ustyuzhaninky/OSAR-keras

Objective Stimuli Active Repeater

Language: Jupyter Notebook - Size: 7.88 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ankitesh97/NewsGenerator

Rnn (vanial, GRU and LSTM) from scratch

Language: Python - Size: 40 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 2

giannisdravilas/Deep-Learning-for-Natural-Language-Processing

💡🧠💬 Development of Deep Learning models and a Question Answering Engine for Sentiment Classification / NLP tasks.

Language: Jupyter Notebook - Size: 24 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

Dia-and-Bronze/strategy.gg-model

How to build ML / AI models which had been used for serving strategy.gg web serivce

Language: Jupyter Notebook - Size: 623 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

dulatf/nlp_experiments

Some experiments with natural language processing.

Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

RomanKoshkin/bRNN

Self-organization in a recurrent network of binary neurons

Language: Jupyter Notebook - Size: 9.68 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

GabrieleCuni/MLDL_Group_Project

Recurrent Neural Network with the joint implementation of two different Self-Supervised Tasks. The purpose of this RNN is to tackle the video recognition task, in terms of first person egocentric action recognition.

Language: Python - Size: 2.78 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

JessieRayeBauer/Time-Series-Forecasting-

Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling

Language: Jupyter Notebook - Size: 222 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 23 - Forks: 16

umop-ap1sdn/Java-ML-Library

Easy to use Machine Learning Library for Java

Language: Java - Size: 124 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

LaurentiuSimionescu/Deep-Learning-Examples

Simple ANN, CNN and RNN examples.

Language: Python - Size: 211 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 3

victoriaporter58/Machine-learning-techniques-for-recognising-handwritten-digits

This project encompasses a range of neural and non-neural model implementations to classifiy MNIST digits. The goal is to compare the performance of each technique including details of hyper-parameters, training ans testing errors, training and testing duration and additional parameters used in the analysis.

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jillmpla/thesis_recurrent_neural_nets

Predicting solar flares with simple RNNs, LSTMs and GRUs.

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nopperl/simple-rnn

Implementation of a simple recurrent neural network in Python 3 and Numpy

Language: Python - Size: 2.93 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

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

ASTMS : Autonomous Smart Traffic Management System Leveraging Artificial Intelligence CNN and Long Short Term Memory

Language: Jupyter Notebook - Size: 192 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

sayemimtiaz/DecomposeRNNintoModules

The repository contains code and data for ICSE'23 paper: decomposing RNN models into modules

Language: Python - Size: 1.49 GB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

sarahm44/lstm-stock-predictor

Uses deep learning recurrent neural networks to model Bitcoin closing prices. One model uses fear and greed indicators while the second uses a window of closing prices.

Language: Jupyter Notebook - Size: 9.96 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

ucsd-fcrl/DL_WMA_by_VR_Final_v_ZC

A deep learning pipeline to detect Left Ventricle Wall Motion Abnormality from volume-rendered 4DCT data. Author: Zhennong Chen, PhD

Language: MATLAB - Size: 28.2 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

Luedman/EchoStateNetworks

Implements Echo State Networks, a machine learning concept from reservoir computing

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 3

bmarroc/deep-learning

Jupyter notebooks implementing Deep Learning algorithms in Keras and Tensorflow

Language: Jupyter Notebook - Size: 97.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

ArtaXerxess/Deep-Learning-Lab

Semester 8 (Jan 2023 - May 2023)

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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

ErniW/RETAIN-heart-failure-prediction-model-RNN

A recurrent neural network to predict heart failure based on ICD-9 patient data analysis from MIMIC dataset. RETAIN network uses "Reverse Time Attention Mechanism" for predictions.

Language: Jupyter Notebook - Size: 75.2 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

RamisLao/tv_script_generator_rnn

Recurrent Neural Network to generate Simpsons TV scripts.

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tk-rusch/coRNN

Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)

Language: Python - Size: 37.1 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 28 - Forks: 6

paschistrobel/RNN-PedestrianTrajectoryPrediction

Prädiktion von zukünftigen Fußgänger-Trajektorien/Bewegungsbahnen mithilfe eines LSTM-Neuronalen Netzes.

Language: Jupyter Notebook - Size: 5.77 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - 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: 4 days ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1

simonefinelli/ASL-Real-time-Recognition

Recognize the American Sign Language in a video stream and translate it to American word by word.

Language: Python - Size: 80 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 2

Supearnesh/ml-imdb-rnn

A recurrent neural network trained to perform sentiment analysis on IMDb reviews.

Language: Python - Size: 1.64 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

JasonFengGit/RNN-Language-Classifier

A Language Classifier powered by Recurrent Neural Network implemented in Python without AI libraries. AI from scratch.

Language: Python - Size: 960 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 52 - Forks: 13

nycdidar/Content-AI

AI framework/starter kit for content publishing tools

Language: Python - Size: 30.9 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 4

moorugi98/hetero_delay_network

computational efficacy of a modular spiking neural network as a function of heterogeneity of delay in the network

Language: Jupyter Notebook - Size: 442 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

renesemela/masters-thesis-music-autotagging

Master's Thesis: Automatic Tagging of Musical Compositions Using Machine Learning Methods

Language: Python - Size: 545 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

chasebk/EO_CNN

EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction

Language: Python - Size: 760 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 8

ryanchesler/comma-speed-challenge

Ryan's contributions to the Comma.ai speed challenge

Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 37 - Forks: 7

darian-catalin-cucer/recurrent-neural-networks

Recurrent Neural Networks (RNNs) are a type of neural network that process sequential data, such as speech, text, or time-series data. RNNs use feedback connections to maintain a state that can capture information from previous inputs, allowing them to make predictions based on a sequence of inputs.

Language: Kotlin - Size: 1000 Bytes - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

razormin/Sequence-Models

Sequence Models coding assignments

Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 4

marcaureledivernois/firm-network

Source code, data and plots for our paper "Analysis of Large Market Data Using Neural Networks: A Causal Approach"

Language: Python - Size: 4.44 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 3.99 MB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

kotstot6/WordleNet

Training a recurrent neural network to play the game "Wordle"

Language: Python - Size: 49.8 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AakashKT/pytorch-recurrent-ae-siggraph17

Pytorch implementation for 'Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder' , https://research.nvidia.com/publication/interactive-reconstruction-monte-carlo-image-sequences-using-recurrent-denoising

Language: Python - Size: 1.47 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 52 - Forks: 6

albert-espin/bitcoin-prediction

Bitcoin Price Prediction using Recurrent Neural Networks

Language: Python - Size: 933 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 4

gy910210/char-rnnlm-tensorflow

Char RNN Language Model based on Tensorflow

Language: Python - Size: 436 KB - Last synced at: over 2 years ago - Pushed at: about 9 years ago - Stars: 13 - Forks: 3

bzhangGo/lrn

Source code for "A Lightweight Recurrent Network for Sequence Modeling"

Language: Python - Size: 299 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 1

shiwentao00/Molecule-RNN

A recurrent neural network (RNN) that generates drug-like molecules for drug discovery.

Language: Python - Size: 8.01 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 0

HHTseng/MarkovRNNs

Pytorch implementation of Markov RNNs

Language: Jupyter Notebook - Size: 15.4 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 1

dstuemk/rl-s2r-drone

Simulator, RL-algorithm and firmware for the sim-to-real transfer of drone control policies

Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

wcchu/Writer

Use RNN with LSTM to generate new text in TensorFlow 2

Language: Python - Size: 63.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

cbaziotis/hierarchical-rnn-biocreative-4

Repository containing the winning submission for the BioCreative VI Task A (2017). The model is a Hierarchical Bidirectional Attention-Based RNN, implemented in Keras.

Language: Python - Size: 2.68 MB - Last synced at: 6 months ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 7

xoxwaw/neural_net

implementation of neural network from scratch using javascript

Language: JavaScript - Size: 1.94 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 0

lvallejomendez/coursera-dlai_deep_learning

Repository for the Deep Learning Specialization by DeepLearning.AI on Coursera.

Language: Jupyter Notebook - Size: 434 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

phueb/TreeTransitions

Create hierarchically structured artificial language sequences for computational linguistics research

Language: Python - Size: 707 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

SimranAnand1/Chatbot-using-Deep-Learning

A simple chatbot built using ML in Python. The data in the intents json file can be modified. This model works for all kinds of input data json file, most accurately in English language.

Language: Jupyter Notebook - Size: 334 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

pablomendesfaria/neural-network-river-flow-forecasting

Uma Rede Neural Recorrente que realiza a previsão da vazão de rio do dia seguinte, utilizando os valores medidos nos dias anteriores através.

Language: Jupyter Notebook - Size: 60.5 KB - Last synced at: 9 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

BecomeAllan/RNN

Resumo sobre o comportamento de RNN do básico a aplicações básicas sobre sua funcionalidade.

Language: Jupyter Notebook - Size: 7.35 MB - Last synced at: 7 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1

mirahg/Song-Lyric-Generator Fork of albeartoz/CS4120-Final-Project

Final Project for CS4120 (Natural Language Processing) at Northeastern University

Language: Jupyter Notebook - Size: 60.6 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

g-sp-rd/brc

PyTorch implementation of the bistable recurrent cell (BRC) and recurrently neuromodulated bistable recurrent cell (nBRC)

Language: Python - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

aidan-bailey/JuliaMachineLearning

A collection of common machine learning problems solved in Julia (with Flux)

Language: Julia - Size: 32.2 KB - Last synced at: 7 days ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Knowledge-Precipitation-Tribe/Recurrent-neural-network

Recurrent-neural-network

Language: Python - Size: 3.16 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

albertobas/20-news-classification

Text classification on the 20NewsGroup dataset.

Language: Jupyter Notebook - Size: 627 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 2

dev-abir/aiPlays-python

A simple flappy bird game, written in Python, where the player is AI.

Language: Python - Size: 523 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

idekany/rrl_feh_nn

Deep-learned metallicity estimation of RR Lyrae-type pulsating stars from their G and Ks light curves

Language: Python - Size: 83 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

rahulsai1999/stockr

Stock Prediction API through LSTMs built using Keras, TensorFlow and Flask

Language: Python - Size: 433 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

zotroneneis/deep_music

Recurrent neural network in TensorFlow for generating novel monophonic melodies.

Language: Jupyter Notebook - Size: 82.8 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 11 - Forks: 4

pouryahoseini/NeuralNet-WSO-Circuit

An analog circuit of a neural network to be used as a weighted order statistic filter

Size: 1.19 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

hmtalha786/Deep-Learning

Basics to Advanced level Deep Learning using Keras and TensorFlow.

Language: Jupyter Notebook - Size: 2.39 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

26hzhang/ConceptualPrimitives

Tensorflow implementation of "SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings"

Language: Python - Size: 292 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2

singhsidhukuldeep/Generating-Devanagari-Using-DRAW

PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation

Language: Python - Size: 40.9 MB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

jungsoh/gru-trigger-word-detection

Recurrent neural network with GRUs for trigger word detection from an audio clip

Language: Jupyter Notebook - Size: 127 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

jungsoh/lstm-music-generation

Long short-term memory (LSTM) trained on a corpus of music to generate novel music

Language: Jupyter Notebook - Size: 102 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

jungsoh/rnn-character-level-language-model

Recurrent neural network for building a character-level language model and its application to generating new dinosaur names

Language: Jupyter Notebook - Size: 6.23 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

3ZadeSSG/Minor-Project-Sentiment-Analysis

Minor Project - Sentiment Analysis Model

Language: Jupyter Notebook - Size: 329 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

shawnhan108/Attention-LSTMs

A set of notebooks that explores the power of Recurrent Neural Networks (RNNs), with a focus on LSTM, BiLSTM, seq2seq, and Attention.

Language: Jupyter Notebook - Size: 158 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 1

rsusik/raesc

Recurrent autoencoder with sequence-aware encoding - recurrent autoencoder, which trains faster.

Language: Python - Size: 107 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

MultiTrickFox/WaveGen_Raw

feature extraction over raw waveform w/ convolution

Language: Python - Size: 65.4 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

MultiTrickFox/WaveGen

variational rnn -> fourier coeffs -> waveform

Language: Python - Size: 143 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

akash1309/Ghost_Writer

Ghost Writer can complete a story given to it on its own and then answer the questions given to it.

Language: Jupyter Notebook - Size: 21.5 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

ToastCoder/Mail-Classification

Classifies emails into ham or spam based on the mail contents. Implemented with TensorFlow.

Language: Python - Size: 3.31 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

formegusto/houself-rnn

KETI Research 🔬

Language: Jupyter Notebook - Size: 4.67 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

mevalle/Quaternion-valued-Recurrent-Projection-Neural-Networks

Source-codes and examples of quaternion-valued recurrent projection neural networks on unit quaternions

Language: Jupyter Notebook - Size: 494 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 1

biswas006/LiU-Deep-Learning

It includes labs related to Deep Neural Networks (DNN), Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN)

Language: Jupyter Notebook - Size: 15.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

shadforth/pokemon-name-generator-rnn

A Recurrent Neural Network that generates Pokémon names 💬

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: 6 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

llewyn-jh/basic-deep-learning

Study principle of deep learning.

Language: Jupyter Notebook - Size: 429 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

cristianokunas/Sentiment_Analysis

Rede Neural Artificial para análise de sentimentos em sentenças em língua inglesa. A Rede Neural Artificial Recursiva Long Short-Term Memory foi implementada para o treinamento do modelo de análise. Com a aplicação da RNA desenvolvida sobre uma base de dados pública com 50.000 registros de filmes usando GPU foi possível reduzir o tempo de treinamento das RNAs em até 91,8% e aumentar a acurácia para 87,7%.

Language: Python - Size: 771 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

lgaspard/brc

PyTorch implementation of the bistable recurrent cell (BRC) and recurrently neuromodulated bistable recurrent cell (nBRC)

Language: Python - Size: 5.86 KB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0