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A curated list of awesome Deep Learning tutorials, projects and communities.
Created 2015-01-02
533 commits to master branch, last one about a year ago
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Created 2018-09-04
386 commits to master branch, last one about a year ago
842
3.9k
apache-2.0
86
Differentiable architecture search for convolutional and recurrent networks
Created 2018-06-25
71 commits to master branch, last one 6 years ago
117
451
gpl-3.0
18
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.
Created 2017-04-06
705 commits to dev branch, last one 5 months ago
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
Created 2019-03-10
311 commits to master branch, last one 2 years ago
Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
Created 2020-02-01
120 commits to master branch, last one 4 years ago
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
Created 2023-04-01
27 commits to main branch, last one about a year ago
Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
Created 2024-03-04
15 commits to main branch, last one 8 months ago
A simpler Pytorch + Zeta Implementation of the paper: "SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series"
Created 2024-03-25
23 commits to main branch, last one 7 months ago