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.

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

Liquid Time-constant Networks implementation with PyTorch

Code repository for Liquid Time-stochasticity networks (LTSs)

A computational theory of consciousness: if the universe is deterministic, consciousness is the observer function, not the executor. Tested across 4 AI substrates with 11 probes and 4 controls.

LIQUID NEURAL NETWORK LNN CLASSIFIER AND REGRESSION

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

Phylogenic AI Agents: Genetic evolution for AI personalities. Self-optimizing agents with liquid memory, ML analytics, and evolutionary optimization. Beyond prompt engineering. A steps towards glass-box AI.

A Liquid RL framework for Autonomous Cyber Defence

Evolutionary optimization of liquid neural networks

Amazon SageMaker algorithm for time series forecasting with liquid neural networks (LNNs).

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

Vision-driven robotic expression control using MediaPipe + LNN-S4. Real-time facial mirroring with 21 servos across eyes, brows & mouth. Bridges human emotion and robotic embodiment through neural temporal modeling.

液态神经网络 - 动态适应的智能系统

Open-source platform powering global operations.

🌊 Develop innovative liquid structural state-space models for accurate estimation of health metrics like SpO2, heart rate, and speech recognition.