Code Repository for Liquid Time-Constant Networks (LTCs)
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Updated
Jun 3, 2024 - Python
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
液态神经网络 - 动态适应的智能系统
An Amazon SageMaker algorithm for time series forecasting with liquid neural networks (LNNs).
Liquid Neural Network language model with LTC and CfC dynamics
AI-powered predictive maintenance platform using Liquid Time-Constant Networks and RAG.
Multi-Channel Transformer with Liquid Neural Integration for Limit Order Book mid-price forecasting in HFT environments.
Code repository for "Efficiently Capturing Causality in Data with Liquid Time-Constant Neural Networks" Master's Thesis
A Liquid RL framework for small scale architecture research
MT-LNN: Microtubule-inspired liquid neural network — bio-inspired LLM architecture with O(1) working memory
Official PyTorch implementation of SBLA-Cortical: Unifying 1.58-Bit Ternary Synapses, O(1) Dendritic Fast-Weight Memory (72 KB), and Homeostatic Spiking Predictive Coding.
Evolutionary optimization of liquid neural networks
LiquidLab — Interactive Liquid Neural Networks & Continuous-Time Models Laboratory. 6 modules: LTC dynamics, Neural ODE, C. elegans connectome, CfC networks, adaptive inference, efficiency arena. Zero dependencies.
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