recurrent-networks

Here are 52 public repositories matching this topic...

ChristosChristofidis / awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

machine-learning awesome deep-learning neural-network recurrent-networks awesome-list deep-learning-tutorial deep-networks face-images

Updated May 26, 2025

udacity / deep-learning-v2-pytorch

Star

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning sentiment-analysis neural-network pytorch recurrent-networks style-transfer convolutional-networks

Updated Jun 27, 2023
Jupyter Notebook

quark0 / darts

Star

Differentiable architecture search for convolutional and recurrent networks

deep-learning language-modeling pytorch recurrent-networks image-classification convolutional-networks automl neural-architecture-search

Updated Jan 3, 2021
Python

nlpodyssey / spago

Star

Self-contained Machine Learning and Natural Language Processing library in Go

nlp machine-learning natural-language-processing deep-learning neural-network automatic-differentiation artificial-intelligence recurrent-networks lstm computation-graph question-answering bart automatic-translation deeplearning language-model bert transformer-architecture bert-as-service named-entities-recognition

Updated Apr 1, 2025
Go

gy910210 / rnn-from-scratch

Star

Implementing Recurrent Neural Network from Scratch

neural-network tensorflow recurrent-networks rnn rnn-tensorflow rnn-language-model

Updated May 28, 2018
Python

nschaetti / EchoTorch

Star

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

python machine-learning machine-learning-algorithms torch pytorch recurrent-neural-networks artificial-intelligence recurrent-networks neural-networks python-toolkit artificial-neural-networks machinelearning echo-state-networks reservoir-computing

Updated Jul 25, 2024
Python

JonathanRaiman / theano_lstm

Star

🔬 Nano size Theano LSTM module

python machine-learning tutorial theano neural-network automatic-differentiation recurrent-networks lstm gru adadelta dropout

Updated Nov 16, 2016
Python

philipperemy / tensorflow-multi-dimensional-lstm

Sponsor

Star

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

recurrent-networks lstm tensroflow multi-dimensional 2d-lstm grid-lstm

Updated Mar 30, 2020
Jupyter Notebook

philipperemy / tensorflow-phased-lstm

Sponsor

Star

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0

machine-learning deep-learning tensorflow recurrent-networks lstm-model mnist-dataset tensorflow-1-0

Updated Dec 19, 2018
Python

palle-k / DL4S

Star

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

swift machine-learning deep-neural-networks deep-learning automatic-differentiation autograd recurrent-neural-networks recurrent-networks neural-networks derivatives convolutional-neural-networks tensor gradient-descent swift-machine-learning optimizers

Updated Nov 5, 2023
Swift

dido1998 / Recurrent-Independent-Mechanisms

Star

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

deep-learning pytorch recurrent-networks attention rim generalization lstms grus

Updated Jan 13, 2022
Python

kristijanbartol / Deep-Music-Tagger

Star

Music genre classification model using CRNN

music deep-neural-networks deep-learning keras audio-analysis music-information-retrieval recurrent-networks convolutional-networks deeplearning fma librosa music-analysis music-classification mel-spectrograms

Updated Sep 27, 2018
Python

ago109 / predictive-forward-forward

Star

Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.