Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: recurrent-neural-networks

Repositories

perkzen/mbajk-ml-web-service

Web application for predicting the number of available bike stands at one of the MBajk bike stations.

Language: Jupyter Notebook - Size: 787 MB - Last synced: about 5 hours ago - Pushed: about 5 hours ago - Stars: 1 - Forks: 0

Correia-jpv/fucking-awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities. With repository stars⭐ and forks🍴

Size: 575 KB - Last synced: about 14 hours ago - Pushed: about 15 hours ago - Stars: 8 - Forks: 2

shlizee/NeuroAI

NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.

Size: 238 KB - Last synced: 2 days ago - Pushed: 2 days ago - Stars: 50 - Forks: 4

rwth-i6/returnn

The RWTH extensible training framework for universal recurrent neural networks

Language: Python - Size: 25.7 MB - Last synced: 1 day ago - Pushed: 2 days ago - Stars: 349 - Forks: 130

lhurr/Speech-To-Text

Attention RNN to decipher common speech commands

Language: Jupyter Notebook - Size: 19.9 MB - Last synced: 1 day ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

mertnakip/Recurrent-Trend-Predictive-Neural-Network

Recurrent Trend Predictive Neural Network (rTPNN): A neural network model to automatically capture trends in time-series data for improved prediction/forecasting performance

Language: Python - Size: 425 KB - Last synced: 1 day ago - Pushed: 2 days ago - Stars: 16 - Forks: 0

BrainJS/brain.js

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

Language: TypeScript - Size: 23 MB - Last synced: 2 days ago - Pushed: 3 months ago - Stars: 14,198 - Forks: 1,061

ViniciusSilveiraCampos/Analise-e-Classifica-o-de-Sentimentos

Uma rede neural recorrente treinada com processamento de linguagem natural, para a classificação de sentimentos. 💬

Language: Jupyter Notebook - Size: 116 KB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 0 - Forks: 0

mithi/deep-blueberry

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Size: 690 KB - Last synced: about 19 hours ago - Pushed: almost 4 years ago - Stars: 25 - Forks: 5

GioStamoulos/BTC_RNN_LSTM_Forecasting

Two different RNN and two LSTM architectures were trained with bitcoin historical data (time series).

Language: Jupyter Notebook - Size: 1.44 MB - Last synced: 4 days ago - Pushed: almost 3 years ago - Stars: 3 - Forks: 0

ahmedbesbes/Quora-Insincere-Questions-Classification

Solutions of the Kaggle competition: Quora Insincere Questions Classification

Language: Jupyter Notebook - Size: 436 KB - Last synced: 5 days ago - Pushed: almost 5 years ago - Stars: 8 - Forks: 3

ahmedbesbes/overview-and-benchmark-of-traditional-and-deep-learning-models-in-text-classification

NLP tutorial

Language: Jupyter Notebook - Size: 4.28 MB - Last synced: 5 days ago - Pushed: almost 6 years ago - Stars: 41 - Forks: 20

reservoirpy/reservoirpy

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

Language: Python - Size: 106 MB - Last synced: 11 days ago - Pushed: 13 days ago - Stars: 369 - Forks: 91

liquidcarrot/carrot

🥕 Evolutionary Neural Networks in JavaScript

Language: JavaScript - Size: 17 MB - Last synced: 5 days ago - Pushed: over 1 year ago - Stars: 293 - Forks: 34

Language: C++ - Size: 581 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 350 - Forks: 69

kajallochab/ShakespearAI

Generating Shakespearean Text with LSTM Neural Networks: This project uses LSTM networks to generate text in the style of William Shakespeare. It explores the intersection of literature and AI by mimicking the rich linguistic nuances and poetic depth of Shakespearean prose and poetry.

Language: Jupyter Notebook - Size: 1.29 MB - Last synced: 6 days ago - Pushed: 7 days ago - Stars: 1 - Forks: 0

guillaume-chevalier/LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Language: Jupyter Notebook - Size: 1.38 MB - Last synced: 4 days ago - Pushed: over 1 year ago - Stars: 3,287 - Forks: 930

tstran155/Prediction-of-mineral-scaling-from-produced-water-composition Fork of lmvu103/Water-source

In this notebook, I built gradient boosting classifier and LSTM model to classify and predict the mineral scaling potential of formation water in US shale basins.

Language: Jupyter Notebook - Size: 188 KB - Last synced: 8 days ago - Pushed: 8 days ago - Stars: 0 - Forks: 0

joseortegalabra/MLBI

Repositorio Ramo Machine Learning for Business Inteligence - Udec 2020-1 (Deep Learning with tensorflow)

Language: Jupyter Notebook - Size: 31 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 0 - Forks: 0

kr-colab/ReLERNN

Recombination Landscape Estimation using Recurrent Neural Networks

Language: Python - Size: 1.01 MB - Last synced: about 21 hours ago - Pushed: 2 months ago - Stars: 44 - Forks: 11

francidellungo/NeuralNet_for_MachineComprehension

Answering a query about a given context paragraph using a model based on recurrent neural networks and attention.

Language: Python - Size: 1.34 MB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 2 - Forks: 1

rahulbhadani/RNN

Recurrent Neural Network Implementation based on WildML's tutorial

Language: Jupyter Notebook - Size: 21.8 MB - Last synced: 9 days ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

zhihanyang2022/pytorch-ddpg

Deep deterministic policy gradient (DDPG) in PyTorch 🚀

Language: Python - Size: 401 KB - Last synced: 9 days ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

agosztolai/MARBLE

Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/

Language: Python - Size: 273 MB - Last synced: 10 days ago - Pushed: 11 days ago - Stars: 22 - Forks: 2

proroklab/popgym

Partially Observable Process Gym

Language: Python - Size: 255 KB - Last synced: 9 days ago - Pushed: about 1 month ago - Stars: 145 - Forks: 8

collinprather/drsa

An adapted PyTorch implementation of a Deep Recurrent Survival Analysis model.

Language: Jupyter Notebook - Size: 1.34 MB - Last synced: 6 days ago - Pushed: about 1 year ago - Stars: 20 - Forks: 4

chuksoo/Deep-Learning-Specialization

This repository contains notes, slides, labs, assignments and projects for the Deep Learning Specialization by DeepLearning.AI and Coursera.

Size: 15.6 KB - Last synced: 10 days ago - Pushed: 11 days ago - Stars: 0 - Forks: 0

philipperemy/keras-tcn

Keras Temporal Convolutional Network.

Language: Python - Size: 5.72 MB - Last synced: 11 days ago - Pushed: 28 days ago - Stars: 1,836 - Forks: 447

vanshhhhh/Tweet-Emotion-Recognition

RNN to recognize tweet emotions 🔷

Language: Jupyter Notebook - Size: 50.8 KB - Last synced: 11 days ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

10-zin/Seq2Seq

This repository stores the implementation of various sequence to sequence models using PyTorch

Language: Jupyter Notebook - Size: 146 MB - Last synced: 11 days ago - Pushed: over 4 years ago - Stars: 3 - Forks: 0

alex-spataru/blackbox

Simulating the dynamical behavior of an Eddy current brake using neural networks

Language: C - Size: 10.5 MB - Last synced: 11 days ago - Pushed: 7 months ago - Stars: 1 - Forks: 0

omarsar/rnn_introduction_fundamentals

Introduction to the Fundamentals of RNN

Language: Jupyter Notebook - Size: 5.75 MB - Last synced: 11 days ago - Pushed: over 6 years ago - Stars: 7 - Forks: 5

zotroneneis/deep_music

Recurrent neural network in TensorFlow for generating novel monophonic melodies.

Language: Jupyter Notebook - Size: 82.8 MB - Last synced: 11 days ago - Pushed: over 5 years ago - Stars: 11 - Forks: 4

uzh-rpg/ssms_event_cameras

Official PyTorch implementation of the CVPR 2024 paper: State Space Models for Event Cameras.

Language: Python - Size: 422 KB - Last synced: 5 days ago - Pushed: 18 days ago - Stars: 20 - Forks: 1

RahulBhalley/recurrent-nets.pytorch

RNN variants implementation from scratch with PyTorch 🔥

Language: Python - Size: 10.7 KB - Last synced: 11 days ago - Pushed: over 5 years ago - Stars: 4 - Forks: 1

DianaGzlz/OntoGenomeBact

Tesis de maestría: Asociación por aprendizaje profundo de k-meros genómicos con etiquetas ontológicas

Language: Python - Size: 4.28 MB - Last synced: 10 days ago - Pushed: 11 days ago - Stars: 0 - Forks: 0

yashrajjain726/Deep-Learning-Hands-On-Practice

Some Topic Based Deep Learning Task

Language: Jupyter Notebook - Size: 160 MB - Last synced: 11 days ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

gautam1858/Efficient-Recurrent-Neural-Networks

Tensorflow implementation of efficient recurrent neural networks

Language: Jupyter Notebook - Size: 23.1 MB - Last synced: 11 days ago - Pushed: about 6 years ago - Stars: 1 - Forks: 0

sinaahmadi/RNN

Recurrent Neural Network Models for Error Correction

Language: Python - Size: 6.71 MB - Last synced: 11 days ago - Pushed: almost 6 years ago - Stars: 5 - Forks: 1

aika-algorithm/aika

AIKA is a new type of artificial neural network designed to more closely mimic the behavior of a biological brain and to bridge the gap to classical AI. A key design decision in the Aika network is to conceptually separate the activations from their neurons, meaning that there are two separate graphs. One graph consisting of neurons and synapses representing the knowledge the network has already acquired and another graph consisting of activations and links describing the information the network was able to infer about a concrete input data set. There is a one-to-many relation between the neurons and the activations. For example, there might be a neuron representing a word or a specific meaning of a word, but there might be several activations of this neuron, each representing an occurrence of this word within the input data set. A consequence of this decision is that we have to give up on the idea of a fixed layered topology for the network, since the sequence in which the activations are fired depends on the input data set. Within the activation network, each activation is grounded within the input data set, even if there are several activations in between. This means links between activations serve two purposes. On the one hand, they are used to sum up the synapse weights and, on the other hand they propagate the identity to higher level activations.

Language: Java - Size: 12.5 MB - Last synced: 29 days ago - Pushed: 29 days ago - Stars: 70 - Forks: 19

AhdaArif/Multispectral-Imaging

Proyek Penelitian Tugas Akhir S1 Teknik Elektro UIN SGD Bandung untuk Proyek Penelitian Capstone kolaborasi KR Sistem Instrumentasi Cerdas PRMC BRIN dengan Fakultas Pertanian Unpad yang Didanai oleh RIIM LPDP 2024

Language: Jupyter Notebook - Size: 2.93 KB - Last synced: 11 days ago - Pushed: 11 days ago - Stars: 0 - Forks: 0

rkuang9/FLARE

C++ Neural Network Library

Language: C++ - Size: 168 MB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 11 - Forks: 1

heschmat/deep-learning-projects

Projects for Udacity Deep Learning Nanodegree Program: CNN, RNN, GANs

Language: HTML - Size: 45.6 MB - Last synced: 12 days ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

NeoNeuron/neoneuron.github.io

Kai Chen's Personal Webpage.

Language: JavaScript - Size: 152 MB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 4 - Forks: 0

prasunroy/sign-language

:large_blue_diamond: Position and Rotation Invariant Sign Language Recognition from 3D Kinect Data with Recurrent Neural Networks.

Language: Python - Size: 36.1 KB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 0 - Forks: 0

JordiCorbilla/stock-prediction-deep-neural-learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

Language: Jupyter Notebook - Size: 36.4 MB - Last synced: 11 days ago - Pushed: 4 months ago - Stars: 432 - Forks: 96

thepushkarp/Impersonator

A Telegram bot that takes in an exported WhatsApp chat and uses it to send you text in your and your friend's writing style 😎

Language: Python - Size: 106 KB - Last synced: 12 days ago - Pushed: 13 days ago - Stars: 14 - Forks: 2

niladrridas/deep-learning

A time series prediction model using Long Short-Term Memory (LSTM), a type of Recurrent Neural Network (RNN), to predict the future stock prices of Tesla (TSLA) based on historical data.

Language: Python - Size: 90.8 KB - Last synced: 14 days ago - Pushed: 14 days ago - Stars: 0 - Forks: 0

haihabi/PyNNcml

Library for rain estimation and detection built with PyTorch. This library provides an implementation of algorithms for extracting rain-rate using data from commercial microwave links (CMLs). Addinaly this project provide an example dataset with data from two CMLs and implementation of performance and robustness metrics

Language: Python - Size: 3.86 MB - Last synced: 10 days ago - Pushed: 7 months ago - Stars: 8 - Forks: 7

kyegomez/LiqudNet

Implementation of Liquid Nets in Pytorch

Language: Python - Size: 2.18 MB - Last synced: 1 day ago - Pushed: 2 months ago - Stars: 10 - Forks: 2

kwonmha/Convolutional-Recurrent-Neural-Networks-for-Relation-Extraction

Tensorflow Implementation of Convolutional Recurrent Neural Networks for Relation Extraction

Language: Python - Size: 1.72 MB - Last synced: 15 days ago - Pushed: almost 6 years ago - Stars: 3 - Forks: 2

macabdul9/music-generator

A deep learning based music generator

Language: Jupyter Notebook - Size: 76 MB - Last synced: 15 days ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

macabdul9/emoji-prediction-using-recurrent-neural-networks

predicting emoji for given sentence using deep learning

Language: Jupyter Notebook - Size: 7.81 KB - Last synced: 15 days ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0

ismorphism/DeepECG

ECG classification programs based on ML/DL methods

Language: Python - Size: 96.2 MB - Last synced: 11 days ago - Pushed: 12 months ago - Stars: 232 - Forks: 84

lcswillems/torch-ac

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Language: Python - Size: 23.4 KB - Last synced: 15 days ago - Pushed: over 1 year ago - Stars: 185 - Forks: 64

guillaume-chevalier/Linear-Attention-Recurrent-Neural-Network

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Language: Jupyter Notebook - Size: 13.6 MB - Last synced: 11 days ago - Pushed: over 5 years ago - Stars: 143 - Forks: 32

guibitten03/Academy.Bitcoin_Stocks_Prediction

Language: Jupyter Notebook - Size: 5.11 MB - Last synced: 16 days ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

hjian42/automatic-personality-prediction

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Language: Python - Size: 29.2 MB - Last synced: 14 days ago - Pushed: over 1 year ago - Stars: 57 - Forks: 19

asappresearch/sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

Language: Python - Size: 1010 KB - Last synced: 15 days ago - Pushed: over 2 years ago - Stars: 2,098 - Forks: 309

rindow/rindow-neuralnetworks

Neural networks library for machine learning on PHP

Language: PHP - Size: 602 KB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 72 - Forks: 10

AnubhavGupta3377/Text-Classification-Models-Pytorch

Implementation of State-of-the-art Text Classification Models in Pytorch

Language: Python - Size: 12.3 MB - Last synced: 5 days ago - Pushed: over 5 years ago - Stars: 483 - Forks: 136

ThomasSavary08/Wing-changes-Lorenz63

Prediction of wing changes in the Lorenz63 system using angles between CLVs.

Language: Python - Size: 609 KB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 0 - Forks: 0

Rohit8y/Financial-Time-Series

Developing a PyTorch-based solution for predicting future values in financial time series data, leveraging RNNs and GRUs as part of the M3 competition for time series forecasting.

Language: Python - Size: 152 KB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 1 - Forks: 0

Rajat-dhyani/Stock-Price-Predictor

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Language: HTML - Size: 2.6 MB - Last synced: 17 days ago - Pushed: over 3 years ago - Stars: 273 - Forks: 159

JacopoRaffi/CNS_Assignments

Laboratory assignments given during the Computational NeuroScience(CNS) course. University of Pisa. A.Y. 2023/2024

Language: Jupyter Notebook - Size: 4.19 MB - Last synced: 17 days ago - Pushed: 18 days ago - Stars: 0 - Forks: 0

lionlai1989/Deep_Learning_Specialization

My notes and solutions for the 'Deep Learning Specialization' by DeepLearningAI,

Language: HTML - Size: 1.34 GB - Last synced: 18 days ago - Pushed: 18 days ago - Stars: 1 - Forks: 0

mxagar/text_sentiment

This repository collects/links projects related to text sentiment analysis.

Size: 2.84 MB - Last synced: 18 days ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

mxagar/deep-learning-v2-pytorch Fork of udacity/deep-learning-v2-pytorch

Projects and exercises of the Udacity Deep Learning Nanodegree.

Language: Jupyter Notebook - Size: 366 MB - Last synced: 18 days ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

i008/nyyelp

predicting yelp review rating using recurrent neural networks

Language: Jupyter Notebook - Size: 18.9 MB - Last synced: 18 days ago - Pushed: about 7 years ago - Stars: 22 - Forks: 4

Jaay7/Emotion-Detection

Language: Jupyter Notebook - Size: 39.6 MB - Last synced: 18 days ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

victor-iyi/lstm-sentiment-analysis

LSTM Sentiment Analysis

Language: Jupyter Notebook - Size: 875 KB - Last synced: 19 days ago - Pushed: about 6 years ago - Stars: 5 - Forks: 0

victor-iyi/deep-learning-with-tensorflow

Deep Learning models with the tensorflow core. Several deep learning models are implemented here.

Language: Jupyter Notebook - Size: 20.1 MB - Last synced: 19 days ago - Pushed: over 6 years ago - Stars: 1 - Forks: 2

blaz-cerpnjak/pm10-air-quality-predictions

Predicting PM10 air particles using recurrent neural networks (RNN, GRU, LSTM)

Language: Jupyter Notebook - Size: 2.71 MB - Last synced: 19 days ago - Pushed: 19 days ago - Stars: 0 - Forks: 0

ndminhkhoi46/asRNN

Adaptive-saturated RNN: Remember more with less instability

Language: Python - Size: 31.4 MB - Last synced: 19 days ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0

Ruqyai/Deep-Learning-Course

Deep learning course

Language: Jupyter Notebook - Size: 1.57 MB - Last synced: 11 days ago - Pushed: 3 months ago - Stars: 19 - Forks: 12

shreyasnbhat/Activity-Detection

NNFL Course Project

Language: Jupyter Notebook - Size: 58.9 MB - Last synced: 20 days ago - Pushed: over 5 years ago - Stars: 1 - Forks: 0

wataruhashimoto52/chatbot-pytorch

PyTorch Implementation of Japanese Chatbot

Language: Python - Size: 71.3 KB - Last synced: 20 days ago - Pushed: over 6 years ago - Stars: 7 - Forks: 2

wataruhashimoto52/Seq2Seq-chatbot

TensorFlow Implementation of Twitter Chatbot

Language: Python - Size: 3.76 MB - Last synced: 20 days ago - Pushed: over 6 years ago - Stars: 18 - Forks: 5

reece-iriye/Stock-Price-Prediction-Using-Historical-Data-and-Recurrent-Neural-Networks

Predicted Target (NYSE: TGT) stocks by implementing a variety of models with Recurrent Neural Networks (RNNs) using TensorFlow. Utilized a variety of predictors that I believed provided valuable insights.

Language: HTML - Size: 1.3 MB - Last synced: 20 days ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

abdur75648/Deep-Learning-Specialization-Coursera

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

Language: Jupyter Notebook - Size: 161 MB - Last synced: 20 days ago - Pushed: 3 months ago - Stars: 368 - Forks: 329