Code Repository for Liquid Time-Constant Networks (LTCs)
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Updated
Aug 21, 2023 - Python
Code Repository for Liquid Time-Constant Networks (LTCs)
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
Liquid Structural State-Space Models
PyxLSTM is a Python library that provides an efficient and extensible implementation of the Extended Long Short-Term Memory (xLSTM) architecture. xLSTM enhances the traditional LSTM by introducing exponential gating, memory mixing, and a matrix memory structure, enabling improved performance and scalability for sequence modeling tasks.
Implementation of GateLoop Transformer in Pytorch and Jax
Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.
Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)
The Reinforcement-Learning-Related Papers of ICLR 2019
Sequential model for polyphonic music
Repo to reproduce the First-Explore paper results
Source code for "A Lightweight Recurrent Network for Sequence Modeling"
Python package for Arabic natural language processing
An implmentation of the AWD-LSTM in PyTorch
Audio and Music Synthesis with Machine Learning
Deep, sequential, transductive divergence metric and domain adaptation for time-series classifiers
Tensorflow implementation of Long Short-Term Memory model for audio synthesis used for thesis
VOGUE: Variable Order HMM with Duration
TinyML stuff done on my Arduino Nano 33 BLE Sense
The course studies fundamentals of distributed machine learning algorithms and the fundamentals of deep learning. We will cover the basics of machine learning and introduce techniques and systems that enable machine learning algorithms to be efficiently parallelized.
An unofficial implementation of "TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest" in Tensorflow
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