Code Repository for Liquid Time-Constant Networks (LTCs)
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Updated
Jun 3, 2024 - 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
Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.
Implementation of GateLoop Transformer in Pytorch and Jax
Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)
🔥 A minimal training framework for scaling FLA models
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
Minimal and efficient JAX implementation of the Mamba State Space Model in JAX/Flax. Inspired by 'Mamba: Linear-Time Sequence Modeling with Selective State Spaces,' this repo provides fast, scalable, and well-documented state-of-the-art sequence modeling tools.
An unofficial implementation of "TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest" in Tensorflow
Audio and Music Synthesis with Machine Learning
Tensorflow implementation of Long Short-Term Memory model for audio synthesis used for thesis
VOGUE: Variable Order HMM with Duration
Generate music with LSTM model
Multiple EM for Motif Elicitation for discovering motifs in a group of related DNA or protein sequences.
Computer vision tools for analyzing behavioral data, including complex event detection in videos.
Caption Images with Machine Learning
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