liquid-neural-networks

Code Repository for Liquid Time-Constant Networks (LTCs)

Liquid Structural State-Space Models

Live-bending a foundation model’s output at neural network level.

This repository hosts a stock market prediction model for Tesla and Apple using Liquid Neural Networks. It showcases data-driven forecasting techniques, feature engineering, and machine learning to enhance the accuracy of financial predictions.

SageMaker implementation of liquid neural networks (LNNs) for time series forecasting.

Liquid Time-constant Networks implementation with PyTorch

Liquid Neural Networks (LNNs) Classification, Clustering, and Regression

Code repository for Liquid Time-stochasticity networks (LTSs)

Liquid Neural Networks (LNN) - Continuous-time neural dynamics inspired by C. elegans. Parameter-efficient AI with 19-302 neurons for complex tasks. Hybrid Clojure/Python implementation.

Code repository for "Efficiently Capturing Causality in Data with Liquid Time-Constant Neural Networks" Master's Thesis

LIQUID NEURAL NETWORK LNN CLASSIFIER AND REGRESSION

A Liquid RL framework for Autonomous Cyber Defence

Predict Steering angles given Road Videos using liquid neural networks, ConvLSTMs and 3D Convolutions

Evolutionary optimization of liquid neural networks