A curated list of awesome Deep Learning tutorials, projects and communities.
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Updated
Apr 30, 2024
A curated list of awesome Deep Learning tutorials, projects and communities.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Differentiable architecture search for convolutional and recurrent networks
Self-contained Machine Learning and Natural Language Processing library in Go
Implementing Recurrent Neural Network from Scratch
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.
🔬 Nano size Theano LSTM module
Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
Music genre classification model using CRNN
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
A simpler Pytorch + Zeta Implementation of the paper: "SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series"
RAN: Recurrent Attention Networks for Long-text Modeling | Findings of ACL23
Source code of "Scalable Recurrent Neural Network for Hyperspectral Image Classification"
A compact implementation of NEAT (NeuroEvolution of Augmentic Topologies) algorithm on C++ for small programs/projects.
A C implementation of common Artificial Neural Networks
Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).
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