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awesome-deep-learning ChristosChristofidis

6.0k

23.1k

unknown

1.2k

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

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

Created 2015-01-02

533 commits to master branch, last one about a year ago

deep-learning-v2-pytorch udacity

5.3k

5.2k

mit

175

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

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

Created 2018-09-04

386 commits to master branch, last one about a year ago

darts quark0

841

3.9k

apache-2.0

87

Differentiable architecture search for convolutional and recurrent networks

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

Created 2018-06-25

71 commits to master branch, last one 5 years ago

spago nlpodyssey

86

1.7k

bsd-2-clause

39

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

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

Created 2020-01-05

2,161 commits to main branch, last one 4 months ago

EchoTorch nschaetti

114

437

gpl-3.0

17

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.

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

Created 2017-04-06

705 commits to dev branch, last one 21 hours ago

DL4S palle-k

13

102

mit

5

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

Created 2019-03-10

311 commits to master branch, last one 2 years ago

Recurrent-Independent-Mechanisms dido1998

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97

other

6

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

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

Created 2020-02-01

120 commits to master branch, last one 3 years ago

predictive-forward-forward ago109

5

50

mit

4

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

tensorflow neuroscience local-learning forward-forward neural-networks forward-learning machine-learning cognitive-science credit-assignment predictive-coding recurrent-networks learning-algorithms forward-pass-learning brain-inspired-computing biological-neural-networks predictive-forward-forward

Created 2023-04-01

27 commits to main branch, last one about a year ago

Griffin kyegomez

3

40

mit

5

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

ai ml mlp rnns zeta pytorch feedforward neural-network recurrent-networks

Created 2024-03-04

15 commits to main branch, last one 2 months ago