Popular GitHub Repositories for Liquid Cooling

Liquid: Language Models are Scalable and Unified Multi-modal Generators

Home automated terrarium/aquarium or other enclosed environment with a Raspberry Pi

Live real-time avatars from your webcam in the browser. No dedicated hardware or software installation needed. A pure Google Colab wrapper for live First-order-motion-model, aka Avatarify in the browser. And other Colabs providing an accessible interface for using FOMM, Wav2Lip and Liquid-warping-GAN with your own media and a rich GUI.

Live-bending a foundation model’s output at neural network level.

An open source implementation of LFMs from Liquid AI: Liquid Foundation Models

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.

Implementation of Liquid Nets in Pytorch

SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.

The Spiking Reservoir (Liquid State Machine - LSM) Simulator

Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach

Sustain-LC is a benchmarking environment for traditional and reinforcement learning based controls as well as LLM based control

A Liquid State Machine using quantized neurons that are operating on lower-bit representations and fixed point computations. It provides a next step towards the implementation of efficient accelerators that can be used in the field of neuromorphic computing.

A Flutter app that uses the Gemini API and Google Maps to provide travel information, nearby POIs, and customized routes, with Liquid Galaxy visualizations and voice integration.

Minismization of server cooling costs/electricity costs using Deep-Q Reinforcment Learning (DQ RL).

Detection of liquid penetrant test with AI (Yolo11)

Different DSP and ML applications, mostly in C and a minimalistic dataflow framework based on libdill

Convolutional Neural Network that detects supernova neutrinos in liquid argon time-projection chamber

YAPL is a tool for prompting LLMs with Liquid-templated YAML files.

Predicting building heating and cooling loads from it's architectural features using ML and utilizing MLflow for experiment tracking.