A C implementation of common Artificial Neural Networks
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Updated
May 6, 2024 - C
A C implementation of common Artificial Neural Networks
A curated list of awesome Deep Learning tutorials, projects and communities.
A simpler Pytorch + Zeta Implementation of the paper: "SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series"
Transformer Architectures Comparison in Natural Language Generation Tasks
Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
Self-contained Machine Learning and Natural Language Processing library in Go
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
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
RAN: Recurrent Attention Networks for Long-text Modeling | Findings of ACL23
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
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.
Repo for the Deep Learning Nanodegree Foundations program.
Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).
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.
Make recurrent layers in Flux much faster
Neural Networks and Deep Learning, Convolutional Neural Networks, Sequence Models
Solution/code for projects and exercises for the Udacity's Deep Learning Nanodegree program 2021
Repository of the Udacity's Deep Learning Nanodegree program.
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