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

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.

Code repository for Liquid Time-stochasticity networks (LTSs)

LIQUID NEURAL NETWORK LNN CLASSIFIER AND REGRESSION

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

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

Multi-Channel Transformer with Liquid Neural Integration for Limit Order Book mid-price forecasting in HFT environments.

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 small scale architecture research

Evolutionary optimization of liquid neural networks

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

液态神经网络 - 动态适应的智能系统

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.

A neuro-symbolic decision OS that runs a wind farm on its own: isolated autonomous agents, physics- and economics-vetoed, on the edge.

Open-source platform powering global operations.