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The Top 23 Deep Learning Lstm Recurrent Neural Networks Open Source Projects

Open source projects categorized as Deep Learning Lstm Recurrent Neural Networks
Categories > Machine Learning > Deep Learning
Categories > Machine Learning > Recurrent Neural Networks
Neural Networks ⭐ 34
All about Neural Networks!
most recent commit 6 years ago
Sequence Models Coursera ⭐ 34
Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.
most recent commit 3 years ago
Rnn Notebooks ⭐ 33
RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
most recent commit 4 years ago
Automatic Personality Prediction ⭐ 33
[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings
most recent commit 3 years ago
Nlp Uncertainty Zoo ⭐ 32
Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
total releases 7most recent commit a year ago
Rnn Stocks Prediction ⭐ 30
Another attempt to use Deep-Learning in the financial markets
most recent commit 6 years ago
Neural Namer ⭐ 30
Fantasy name generator in TensorFlow
most recent commit 6 years ago
Tesla Stocks Prediction ⭐ 29
The implementation of LSTM in TensorFlow used for the stock prediction.
most recent commit 4 years ago
Crypto Predict ⭐ 29
A dockerized prediction API for crypto.
most recent commit 9 months ago
Lstm Electric Load Forecast ⭐ 28
Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network
most recent commit 5 years ago
Sudl ⭐ 27
light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)
most recent commit 7 years ago
Zeta Learn ⭐ 27
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
total releases 15most recent commit 4 years ago
Tensorflow Grid Lstm ⭐ 25
Implementation of the paper https://arxiv.org/pdf/1507.01526v3.pdf (Tensorflow 1.0, Python 3)
most recent commit 7 years ago
Tensorflow Notebooks ⭐ 25
A collection of notebooks with TensorFlow and the Keras API for various deep-learning and machine learning problems
most recent commit a year ago
Neural Networks ⭐ 24
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
most recent commit 6 years ago
Deeplearning And Nlp ⭐ 24
Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.
most recent commit 3 years ago
Paper Implementation Dstp Rnn For Stock Prediction Based On Da Rnn ⭐ 24
基於DA-RNN之DSTP-RNN論文試做(Ver1.0)
most recent commit 4 years ago
Rnn2d ⭐ 23
CPU and GPU implementations of some 2D RNN layers
most recent commit 7 years ago
Speech Emotion Recognition ⭐ 23
Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
most recent commit 2 years ago
Speech_emotion_recognition ⭐ 23
In this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifiers that uses machine learning algorithms has been used for decades in recognizing emotions from speech. However, in recent years, deep learning methods have taken the center stage and have gained popularity for their ability to perform well without any input hand-crafted features. Speech emotion on sets obtained from RAVDESS corpus is classified using a conven
most recent commit 4 months ago
Deep Trading ⭐ 22
Algorithmic Trading using RNN
most recent commit 8 years ago
Grefenstette Stack Lstm ⭐ 22
DyNet implementation of stack LSTM experiments by Grefenstette et al.
most recent commit 7 years ago
Deeplearning Study ⭐ 22
This is repository for DeepLearning Study in Kyung Hee University
most recent commit 5 years ago
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