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

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

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.

Evolutionary optimization of liquid neural networks

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

A Liquid RL framework for small scale architecture research

Open-source platform powering global operations.

Curated C/C++ projects for post-Transformer architectures, portable toolchains, and binary instrumentation

A Liquid Neural ODE framework for solving complex inverse problems in PyTorch.