Code Repository for Liquid Time-Constant Networks (LTCs)
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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
A Liquid RL framework for Autonomous Cyber Defence
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
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.
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.
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