Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
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Updated
Jun 17, 2024 - Python
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 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.
Transformer Architectures Comparison in Natural Language Generation Tasks
RAN: Recurrent Attention Networks for Long-text Modeling | Findings of ACL23
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
Differentiable architecture search for convolutional and recurrent networks
Source code of "Scalable Recurrent Neural Network for Hyperspectral Image Classification"
Sentence Sentiment Analysis
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
Music genre classification model using CRNN
using encoder decoder neural net architecture to translate french to english
Implementing Recurrent Neural Network from Scratch
Collection of malware detection models using time series data.
🔬 Nano size Theano LSTM module
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