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16 search results found

Lstm Siamese Text Similarity ⭐ 201

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

Rnn_lstm_from_scratch ⭐ 142

How to build RNNs and LSTMs from scratch with NumPy.

Repo 2016 ⭐ 105

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Deep Learning Coursera ⭐ 102

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Rnn_sent ⭐ 34

Recurrent neural networks and Dynamic memory networks for sentiment classification

Deep Learning ⭐ 31

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.

Neural Networks ⭐ 24

Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.

SANNet Neural Network Framework

Seq2seqlearn ⭐ 16

C# Sequence to Sequence Learning with Attention using LSTM neural Networks

Neural network language models, including feed-forward neural network, recurrent neural network, long-short term memory neural network.

Handwriting Model ⭐ 10

(WIP) Implementation of a network for Handwriting Synthesis based on the work of Generating Sequences With Recurrent Neural Networks by Alex Graves (https://arxiv.org/abs/1308.0850)

Gridlstm Pytorch ⭐ 10

An implementation of the grid LSTM network for PyTorch

Cse327_computer_vision ⭐ 7

A Long Short Term Memory neural network for time series prediction. Memory blocks contain one memory cell in each. Weights for the network are randomly initialized.

A C++ deep learning library for the construction and optimization of neural networks ranging from simple feedforward architectures to state-of-the-art convolutional ResNets and LSTMs.

Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network

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