All Categories → Machine Learning → recurrent-neural-networks

Top 233 recurrent-neural-networks open source projects

NeuroAI

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

✭ 36

data-science ai deep-learning recurrent-neural-networks neural-networks cvpr sfn icml neuroscience-methods eccv neurips

sequence-rnn-py

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

✭ 28

python theano keras recurrent-neural-networks lstm rnn

DeepSegmentor

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

✭ 17

python lua machine-learning deep-learning speech recurrent-neural-networks segmentation structured-learning structured-loss-function

Sequence-to-Sequence-Learning-of-Financial-Time-Series-in-Algorithmic-Trading

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

entity-network

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

✭ 58

python tensorflow recurrent-neural-networks embeddings tensorflow-models recurrent-entity-networks key-vectors

regulatory-prediction

Code and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on Computational Biology

✭ 26

python deep-learning computational-biology recurrent-neural-networks convolutional-neural-networks

SpeakerDiarization RNN CNN LSTM

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

✭ 56

python audio tensorflow cnn recurrent-neural-networks lstm rnn mlp cnn-model speaker-diarization speaker-diarization-problem speakerdiarization-rnn separating-speakers

keras-malicious-url-detector

Malicious URL detector using keras recurrent networks and scikit-learn classifiers

✭ 24

python recurrent-neural-networks lstm convolutional-neural-networks url-detector binary-classification malicious-url

deep-learning

Assignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke

✭ 94

Jupyter Notebook natural-language-processing computer-vision deep-learning tensorflow recurrent-neural-networks convolutional-neural-networks

datastories-semeval2017-task6

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Deep-Learning-Tensorflow

Gathers Tensorflow deep learning models.

✭ 50

Jupyter Notebook deep-learning tensorflow encoder chatbot recurrent-neural-networks dcgan seq2seq multi-perceptron attention-seq2seq

bruno

a deep recurrent model for exchangeable data

✭ 34

python deep-neural-networks recurrent-neural-networks gaussian-processes omniglot exchangeable-structures few-shot-learning real-nvp

stanford-cs231n-assignments-2020

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

✭ 84

Jupyter Notebook python deep-neural-networks computer-vision deep-learning neural-network image-processing recurrent-neural-networks stanford convolutional-neural-networks attention-mechanism cs231n captioning-images stanford-machine-learning cnns rnns cs231n-assignment vision-and-language cs231

VariationalNeuralAnnealing

A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.

✭ 21

Jupyter Notebook python tensorflow recurrent-neural-networks neural-networks rnn simulated-annealing optimization-algorithms quantum-annealing annealing variational-neural-annealing

bitcoin-prediction

bitcoin prediction algorithms

✭ 21

Jupyter Notebook random-forest linear-regression machine-learning-algorithms recurrent-neural-networks gru arima prophet prediction-algorithm svm-classifier lstm-neural-networks holt-winters bitcoin-price-prediction

handson-ml

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

✭ 285

machine-learning deep-neural-networks reinforcement-learning deep-learning neural-network random-forest tensorflow svm scikit-learn recurrent-neural-networks xgboost autoencoder ensemble-learning gradient-boosting

fin

finance

✭ 38

python finance recurrent-neural-networks quantopian portfolio-optimization algorithmic-trading

Reservoir

Code for Reservoir computing (Echo state network)

✭ 40

python machine-learning recurrent-neural-networks echo-state-networks reservoir-computing

LSTM-Time-Series-Analysis

Using LSTM network for time series forecasting

✭ 41

Jupyter Notebook data-science machine-learning deep-learning time-series neural-network random-forest recurrent-neural-networks lstm

Name-NationalOrigin-Classifier

Using a recurrent neural network in TensorFlow to predict national origin by last name.

✭ 30

python tensorflow recurrent-neural-networks

Music-Style-Transfer

Source code for "Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model"

✭ 16

python recurrent-neural-networks music-information-retrieval style-transfer wavenet music-style-transfer

keras-ordered-neurons

Ordered Neurons LSTM

✭ 29

python shell keras recurrent-neural-networks on-lstm

iust deep fuzz

Advanced file format fuzzer based-on deep neural language models.

✭ 36

python HTML Batchfile C#deep-learning tensorflow keras recurrent-neural-networks fuzz-testing test-data code-coverage vulnerability-detection neural-language-model

mmn

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

✭ 39

python shell deep-reinforcement-learning pytorch recurrent-neural-networks finite-state-machine tomita atari quantization bottleneck interpretability moore-machine explainable-artificial-intelligence

pomdp-baselines

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

✭ 162

python Jupyter Notebook shell deep-reinforcement-learning pytorch recurrent-neural-networks sac pomdp generalization credit-assignment meta-rl robust-rl td3 discrete-sac

sequence labeling tf

Sequence Labeling in Tensorflow

✭ 18

python machine-learning natural-language-processing deep-learning recurrent-neural-networks artificial-intelligence named-entity-recognition word-sense-disambiguation convolutional-neural-networks chunking pos-tagging sequence-labeling natural-language-understanding coreference-resolution semantic-role-labeling

Introduction-to-Deep-Learning-and-Neural-Networks-Course

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

✭ 33

Jupyter Notebook python data-science machine-learning deep-neural-networks ai deep-learning transformers pytorch recurrent-neural-networks generative-adversarial-network convolutional-neural-networks autoencoders graph-neural-networks

Human-Activity-Recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

✭ 16

Jupyter Notebook python machine-learning deep-learning neural-network tensorflow recurrent-neural-networks lstm rnn human-activity-recognition

unicornn

Official code for UnICORNN (ICML 2021)

✭ 21

python deep-learning time-series cuda imdb pytorch recurrent-neural-networks icml sequential-mnist icml-2021

roboinstruct-1

A robot learning from demonstration framework that trains a recurrent neural network for autonomous task execution

✭ 71

C#python Classic ASP robotics recurrent-neural-networks learning-from-demonstration

POPQORN

An Algorithm to Quantify Robustness of Recurrent Neural Networks

✭ 44

python machine-learning recurrent-neural-networks robustness adversarial-attacks

AC-VRNN

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

✭ 21

python time-series surveillance recurrent-neural-networks generative-model variational-autoencoder trajectory-prediction graph-attention-networks graph-neural-networks

rnn benchmarks

RNN benchmarks of pytorch, tensorflow and theano

✭ 85

python shell benchmark lasagne theano tensorflow pytorch recurrent-neural-networks lstm ctc

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!

✭ 17

machine-learning deep-neural-networks reinforcement-learning computer-vision deep-learning machine-learning-algorithms deep-reinforcement-learning recurrent-neural-networks generative-adversarial-network deep-learning-algorithms convolutional-neural-networks deep-learning-tutorial keras-tensorflow variational-autoencoder pytorch-tutorial long-short-term-memory pytorch-implementation

LSTM-footballMatchWinner

This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

✭ 44

Jupyter Notebook deep-learning recurrent-neural-networks football-data lstm-neural-networks

Visual-Attention-Model

Chainer implementation of Deepmind's Visual Attention Model paper

✭ 27

python reinforcement-learning chainer visual recurrent-neural-networks reinforce attention-mechanism visual-attention

Keras-LSTM-Trajectory-Prediction

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

✭ 88

python anaconda tensorflow gpu keras recurrent-neural-networks sequence-to-sequence object-tracking bidirectional-lstm trajectory-prediction cudnnlstm path-predictions

svae cf

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

✭ 38

Jupyter Notebook pytorch recurrent-neural-networks collaborative-filtering recommender-system bayesian-inference variational-autoencoder pytorch-implementation

Deep-Learning-A-Z-Hands-on-Artificial-Neural-Network

Codes and Templates from the SuperDataScience Course

✭ 39

python perl shell r recurrent-neural-networks artificial-neural-networks convolutional-neural-networks boltzmann-machines autoencoders self-organizing-map superdatascience-course

Neural-Chatbot

A Neural Network based Chatbot

✭ 68

python HTML perl chatbot keras recurrent-neural-networks neural-conversation-models sequence-to-sequence attention-mechanism

Probabilistic-RNN-DA-Classifier

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

✭ 22

python dialogue keras corpus recurrent-neural-networks embeddings lstm classification rnn lstm-model probabilistic dialogue-data utterances

ACT

Alternative approach for Adaptive Computation Time in TensorFlow

✭ 16

python machine-learning deep-learning tensorflow recurrent-neural-networks rnn act adaptive-computation-time

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

NLP tutorial

✭ 41

Jupyter Notebook blog nlp tutorial tweets sentiment-analysis text-classification sklearn word-embeddings keras recurrent-neural-networks bag-of-words deeplearning convolutional-neural-networks tfidf glove-embeddings character-ngrams word-ngrams

SynThai

Thai Word Segmentation and Part-of-Speech Tagging with Deep Learning

✭ 41

python deep-learning recurrent-neural-networks word-segmentation thai-nlp pos-tagging

Sentiment-Analysis-of-Netflix-Reviews

Sentiment Analysis LSTM recurrent neural network's.

✭ 51

python deep-learning sentiment-analysis tensorflow recurrent-neural-networks lstm neural-networks

TF-Speech-Recognition-Challenge-Solution

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

✭ 58

Jupyter Notebook python shell raspberry-pi deep-learning neural-network tensorflow scikit-learn speech recurrent-neural-networks speech-recognition ensemble-learning convolutional-neural-networks audio-recognition

Seq2Seq-chatbot

TensorFlow Implementation of Twitter Chatbot

✭ 18

python deep-learning chatbot recurrent-neural-networks seq2seq

DARNN

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

✭ 90

python shell recurrent-neural-networks attention-mechanism time-series-prediction

danifojo-2018-repeatrnn

Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks

✭ 32

python deep-learning tensorflow machine pytorch recurrent-neural-networks rnn

pyradox

State of the Art Neural Networks for Deep Learning

✭ 61

python deep-neural-networks deep-learning recurrent-neural-networks neural-networks artificial-neural-networks feedforward-neural-network convolutional-neural-networks tensorflow2

SharkStock

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

✭ 63

python trading-bot deep-reinforcement-learning recurrent-neural-networks stock-market policy-gradient convolutional-neural-networks sentiment-classification

Chase

Automatic trading bot (WIP)

✭ 73

python machine-learning deep-learning trading stock recurrent-neural-networks lstm stock-market stock-price-prediction lstm-neural-networks

181-233 of 233 recurrent-neural-networks projects

first

‹