Code Repository for Liquid Time-Constant Networks (LTCs)

Liquid Structural State-Space Models

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.

🔥 A minimal training framework for scaling FLA models

Implementation of GateLoop Transformer in Pytorch and Jax

Pytorch implementation of Simplified Structured State-Spaces for Sequence Modeling (S5)

Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.

Sequential model for polyphonic music

The Reinforcement-Learning-Related Papers of ICLR 2019

Repo to reproduce the First-Explore paper results

Python package for Arabic natural language processing

Source code for "A Lightweight Recurrent Network for Sequence Modeling"

Temporal Neural Networks

An implmentation of the AWD-LSTM in PyTorch

A hands-on project for forecasting time-series with PyTorch LSTMs. It creates realistic daily data (trend, seasonality, events, noise), prepares it with sliding windows, and trains an LSTM to make multi-step predictions. The project tracks errors with RMSE, MAE, MAPE and shows clear plots of training progress and forecast results.

Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting

Official Repository of JustDense: Just using Dense instead of Sequence Mixer for Time Series analysis

Implementation of Echo State Networks (ESN) with experiments on MNIST and ECG5000. Includes comparison with Linear Regression and analysis of weight initialization methods for time-series and classification tasks.

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.