🔬 Nano size Theano LSTM module
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Updated
Nov 16, 2016 - Python
🔬 Nano size Theano LSTM module
Collection of malware detection models using time series data.
Implementing Recurrent Neural Network from Scratch
using encoder decoder neural net architecture to translate french to english
Music genre classification model using CRNN
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0
Sentence Sentiment Analysis
Source code of "Scalable Recurrent Neural Network for Hyperspectral Image Classification"
Differentiable architecture search for convolutional and recurrent networks
Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
RAN: Recurrent Attention Networks for Long-text Modeling | Findings of ACL23
A simpler Pytorch + Zeta Implementation of the paper: "SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series"
Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"
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
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