#Awesome#A curated list of awesome Deep Learning tutorials, projects and communities.
翻译 - 精选的深度学习教程，项目和社区的清单。
#计算机科学#Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
翻译 - 最新的深度学习与计划的项目和练习https://www.udacity.com/course/deep-learning-nanodegree--nd101
#计算机科学#Differentiable architecture search for convolutional and recurrent networks
翻译 - 卷积和递归网络的可微体系结构搜索
#自然语言处理#Self-contained Machine Learning and Natural Language Processing library in Go
翻译 - spaGO是一个用Go语言编写的美观且可维护的机器学习库，旨在在自然语言处理任务中支持相关的神经网络架构
Implementing Recurrent Neural Network from Scratch
#计算机科学#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.
#计算机科学#🔬 Nano size Theano LSTM module
Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf
#计算机科学#Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
#计算机科学#Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
#计算机科学#Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
#计算机科学#Music genre classification model using CRNN
#计算机科学#Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
#计算机科学#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"
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"
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
RAN: Recurrent Attention Networks for Long-text Modeling | Findings of ACL23