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

Topic: "recurrent-networks"

ChristosChristofidis/awesome-deep-learning

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

Size: 813 KB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 25,255 - Forks: 6,118

udacity/deep-learning-v2-pytorch

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

Language: Jupyter Notebook - Size: 146 MB - Last synced at: 5 days ago - Pushed at: almost 2 years ago - Stars: 5,389 - Forks: 5,345

quark0/darts

Differentiable architecture search for convolutional and recurrent networks

Language: Python - Size: 4.7 MB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 3,958 - Forks: 837

nlpodyssey/spago

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

Language: Go - Size: 19.5 MB - Last synced at: 5 days ago - Pushed at: about 2 months ago - Stars: 1,794 - Forks: 89

nschaetti/EchoTorch

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.

Language: Python - Size: 50.9 MB - Last synced at: 9 days ago - Pushed at: 10 months ago - Stars: 467 - Forks: 117

gy910210/rnn-from-scratch

Implementing Recurrent Neural Network from Scratch

Language: Python - Size: 3.09 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 441 - Forks: 152

JonathanRaiman/theano_lstm

:microscope: Nano size Theano LSTM module

Language: Python - Size: 91.8 KB - Last synced at: about 18 hours ago - Pushed at: over 8 years ago - Stars: 303 - Forks: 112

philipperemy/tensorflow-multi-dimensional-lstm

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

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 156 - Forks: 46

philipperemy/tensorflow-phased-lstm

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

Language: Python - Size: 1.02 MB - Last synced at: 16 days ago - Pushed at: over 6 years ago - Stars: 128 - Forks: 24

palle-k/DL4S

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

Language: Swift - Size: 19.5 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 108 - Forks: 13

dido1998/Recurrent-Independent-Mechanisms

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

Language: Python - Size: 22.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 93 - Forks: 24

kristijanbartol/Deep-Music-Tagger

Music genre classification model using CRNN

Language: Python - Size: 51.4 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 67 - Forks: 7

kyegomez/Griffin

Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"

Language: Python - Size: 36.2 MB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 53 - Forks: 3

ago109/predictive-forward-forward

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

Language: Python - Size: 91 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 45 - Forks: 4

kyegomez/Simba

A simpler Pytorch + Zeta Implementation of the paper: "SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series"

Language: Python - Size: 2.48 MB - Last synced at: 11 days ago - Pushed at: 6 months ago - Stars: 28 - Forks: 2

4AI/RAN

RAN: Recurrent Attention Networks for Long-text Modeling | Findings of ACL23

Language: Python - Size: 556 KB - Last synced at: 25 days ago - Pushed at: almost 2 years ago - Stars: 22 - Forks: 3

MartinuzziFrancesco/RecurrentLayers.jl

A comprehensive collection of 30+ recurrent neural network layers for Flux.jl

Language: Julia - Size: 1.63 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 20 - Forks: 0

mhaut/scalable_RNN_HSI

Source code of "Scalable Recurrent Neural Network for Hyperspectral Image Classification"

Language: Python - Size: 116 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 10

hav4ik/tinyai

A compact implementation of NEAT (NeuroEvolution of Augmentic Topologies) algorithm on C++ for small programs/projects.

Language: HTML - Size: 2.41 MB - Last synced at: about 2 years ago - Pushed at: over 9 years ago - Stars: 16 - Forks: 3

artix75/psyc

A C implementation of common Artificial Neural Networks

Language: C - Size: 17.5 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 14 - Forks: 2

jonzia/NeuralNetStudio

Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).

Language: MATLAB - Size: 300 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 3

shivamnegi92/LSTM-RNN-over-Bitcoin-Historical-Data

A LSTM based Deep Net which predict bitcoin value trends(30 days)

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 1

MartinuzziFrancesco/LuxRecurrentLayers.jl

Novel recurrent layers for Lux.jl

Language: Julia - Size: 340 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 3 - Forks: 0

seifip/udacity-deep-learning-nanodegree

Project work for the Udacity Deep Learning Nanodegree

Language: Jupyter Notebook - Size: 66.3 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 4

SNUDerek/LSTMTG

Generate Magic the Gathering (MtG) cards with a character-based LSTM language model, now with weight tying

Language: Jupyter Notebook - Size: 40.5 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 1

nandahkrishna/RNNReactivation

Code for "Sufficient conditions for offline reactivation in recurrent neural networks" (ICLR 2024)

Language: Python - Size: 34.2 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

moon23k/Transformer_Variants

Transformer Architectures Comparison in Natural Language Generation Tasks

Language: Python - Size: 139 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0

bejar/DLMAI

RNN examples

Language: Python - Size: 113 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 5

satinder147/sentiment--analysis

Sentence Sentiment Analysis

Language: Python - Size: 200 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

matthiasludwig/deep-learning-udacity-material

Material from Udacity for the Deep Learning ND

Language: Jupyter Notebook - Size: 85.2 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

nschaetti/RCNLP

RCNLP - Echo State Network for Natural Language Processing is a research project about Reservoir Computing for NLP tasks

Language: OpenEdge ABL - Size: 469 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1

zblasingame/time-series-models

Collection of malware detection models using time series data.

Language: Python - Size: 26.4 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 2

rahulkgup/deep-learning-foundation

Repo for the Deep Learning Nanodegree Foundations program.

Language: Jupyter Notebook - Size: 76.9 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

uttejh/DeepLearning_PyTorch

My projects and exercises for the latest Deep Learning ND program from Udacity

Language: Jupyter Notebook - Size: 4.21 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

thayumaanavan/Recurrent_Neural_Networks

Week 3 - Recurrent Networks

Language: Jupyter Notebook - Size: 9.06 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

2015xli/recurrent-network

A simple tutorial on recurrent network in Python

Language: Jupyter Notebook - Size: 133 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

shenmbsw/DeepLearning_Basic

Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 0

Shashu0581/DART

DART (Diffusion-Autoregressive Recursive Transformer) is a novel hybrid architecture that combines diffusion-based and autoregressive approaches for text generation.

Language: Python - Size: 39.1 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

Sepehr2001/From-single-neuron-to-learning-in-networks-workshop

A 3 day workshop with hand-on coding exercises held by Safura Rashid Shomali, Resident Researcher at the Institute for Research in Fundamental Sciences (IPM), PhD in Neuroscience

Language: MATLAB - Size: 2.84 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

darian-catalin-cucer/recurrent-neural-networks

Recurrent Neural Networks (RNNs) are a type of neural network that process sequential data, such as speech, text, or time-series data. RNNs use feedback connections to maintain a state that can capture information from previous inputs, allowing them to make predictions based on a sequence of inputs.

Language: Kotlin - Size: 1000 Bytes - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AStupidBear/FastRecurFlux.jl

Make recurrent layers in Flux much faster

Language: Julia - Size: 38.1 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

ValeriiSielikhov/DeepLearning.AI

Neural Networks and Deep Learning, Convolutional Neural Networks, Sequence Models

Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: 6 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

DanielBustillos/deep-learning-projects-Udacity

Repository of the Udacity's Deep Learning Nanodegree program.

Language: Jupyter Notebook - Size: 422 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1

YolandaAlvarez/Generate-TV-Scripts

Project for the module Recurrent Neural Networks for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

shrikantnaidu/Deep-Learning-By-Udacity

Deep Learning Nanodegree Course Content

Language: Jupyter Notebook - Size: 126 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Floki678/Language-translator

using encoder decoder neural net architecture to translate french to english

Language: Python - Size: 7.81 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

lorival/the-simpsons-script-generator-by-history

This project makes a new and unique script from Moe's Tavern by script history, using recurrent networks.

Language: Jupyter Notebook - Size: 127 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

jrbtaylor/recurrent_pytorch

Language: Python - Size: 31.3 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

blrB/RNNSequencePrediction

Recurrent neural network(RNN) Sequence Prediction, Jordan networks, Simple recurrent networks(SRN)

Language: C++ - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

paulfoley/deep-learning Fork of udacity/deep-learning

Udacity Nanodegree - Deep Learning - Projects: Convolutional Neural Networks, Recurrent Neural Networks, and Generative Adversarial Networks

Language: Jupyter Notebook - Size: 43.3 MB - Last synced at: about 2 years ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0

R6/EchoTorch

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.

Language: Python - Size: 54.4 MB - Last synced at: about 1 year ago - Stars: 0 - Forks: 0

Related Topics
deep-learning 25 machine-learning 16 recurrent-neural-networks 16 neural-network 14 pytorch 11 convolutional-networks 10 lstm 8 neural-networks 8 tensorflow 7 rnn 6 sentiment-analysis 5 artificial-intelligence 5 keras 5 python 5 udacity 4 convolutional-neural-networks 4 deep-neural-networks 4 machine-learning-algorithms 4 style-transfer 3 deeplearning 3 recurrent-neural-network 3 gru 3 automatic-differentiation 3 reservoir-computing 3 artificial-neural-networks 3 echo-state-networks 3 nlp 3 machinelearning 3 generative-adversarial-network 2 deep-learning-algorithms 2 image-classification 2 udacity-nanodegree 2 udacity-deep-learning 2 reinforcement-learning 2 rnns 2 language-model 2 automl 2 anomaly-detection 2 natural-language-processing 2 torch 2 python-toolkit 2 tutorial 2 nanodegree 2 flutter-examples 1 flutter-ui 1 forecasting 1 henson 1 intent 1 lie-group 1 simulation 1 dialogue-generation 1 evolved-transformer 1 nmt 1 text-summarization 1 transformer 1 acl 1 acl2023 1 long-context 1 long-context-attention 1 long-context-transformers 1 long-document-modeling 1 recurrent-attention-networks 1 flux 1 lstm-neural-networks 1 rnn-model 1 examples 1 bert 1 bert-as-service 1 computation-graph 1 named-entities-recognition 1 question-answering 1 transformer-architecture 1 biological-neural-networks 1 brain-inspired-computing 1 cognitive-science 1 credit-assignment 1 forward-forward 1 forward-learning 1 forward-pass-learning 1 learning-algorithms 1 local-learning 1 neuroscience 1 predictive-coding 1 predictive-forward-forward 1 tranformers 1 lstm-model 1 mnist-dataset 1 tensorflow-1-0 1 data-science 1 reactivation 1 recurrent-neural-nets 1 replay 1 spatial-navigation 1 autograd 1 derivatives 1 gradient-descent 1 optimizers 1 swift 1 swift-machine-learning 1 tensor 1