Resources

Tools, guides, and knowledge for ecological AI systems

cat resource_philosophy.txt

Knowledge should flow freely across disciplinary boundaries. These resources represent the intellectual foundations that support my work at the intersection of AI Edge Computing, bioinformatics, and ecological systems thinking.

AI Edge Computing Resources

Tools, frameworks, and knowledge resources for developing localized, resource-efficient AI systems.

llama.cpp Framework

High-performance framework for running LLMs locally on various hardware. Optimized inference of LLMs based on the llama architecture with quantization support.

GitHub Repository

NixOS Tool

Linux distribution with declarative configuration for reproducible computing environments. Perfect for creating consistent deployment configurations across diverse hardware.

Official Website

TinyML Framework

Machine learning designed for ultra-low power systems, enabling on-device sensor data analytics and intelligence at the extreme edge.

Learn More

Embedded ML Guide Knowledge

Comprehensive resource for implementing machine learning on embedded systems, covering model optimization, deployment strategies, and hardware considerations.

TensorFlow Micro

LLM Resource Calculator Tool

Tool for estimating computational requirements and power consumption for running various language models on different hardware configurations.

Coming Soon

Sustainable Computing Framework Guide

Guidelines and metrics for developing AI systems that minimize energy consumption and environmental impact while maximizing utility.

Research Paper

Ecological Intelligence Resources

Frameworks and knowledge bases for integrating ecological principles into technological systems.

Biomimicry Design Toolkit Framework

Methods and patterns for translating biological principles into technological designs, with emphasis on resilience and energy efficiency.

Access Toolkit

Resilience Thinking Knowledge

Comprehensive framework for understanding and designing complex systems that can maintain function in the face of change and disruption.

Resilience Alliance

Planetary Boundaries Framework

Scientific framework defining the environmental limits within which humanity can safely operate, essential for ecological technology design.

Learn More

Regenerative Design Patterns Guide

Collection of design principles that move beyond sustainability to create systems that actively regenerate ecological health.

Explore Patterns

Complex Systems Database Knowledge

Curated collection of research papers and resources on complex adaptive systems, relevant to both ecological and technological design.

Access Database

Earth Systems Knowledge Portal Tool

Interactive platform for understanding planetary systems and feedback loops, crucial for designing technology within ecological constraints.

Visit Portal

Bioinformatics & Data Science

Tools and resources for biological data analysis that form the foundation of my interdisciplinary approach.

Genomics & Transcriptomics

  • Bioconductor - Tools for analysis of high-throughput genomic data
  • BioPython - Tools for biological computation in Python
  • Trinity - RNA-Seq de novo assembly
  • KEGG - Database for understanding high-level functions of biological systems
  • GenBank - Genetic sequence database

Protein Analysis

  • ESM-2 - State-of-the-art protein language model
  • ProtT5 - Transformer models for protein sequence analysis
  • AlphaFold DB - Protein structure database
  • BLAST - Sequence similarity search tool
  • InterPro - Protein classification database

Data Visualization

  • Plotly - Interactive visualization library
  • Matplotlib - Comprehensive visualization in Python
  • ggplot2 - Grammar of graphics for R
  • D3.js - JavaScript library for data-driven documents
  • Cytoscape - Network visualization platform

Statistical Analysis

  • scikit-learn - Machine learning in Python
  • tidyverse - Collection of R packages for data science
  • DESeq2 - Differential gene expression analysis
  • pandas - Data analysis and manipulation tool
  • NumPy - Fundamental package for scientific computing

This resource collection is continuously updated as new tools and knowledge emerge at the intersection of AI, ecology, and bioinformatics. If you'd like to suggest a resource or collaborate on developing tools for ecological AI systems, please reach out.

grep "interdisciplinary" knowledge_philosophy.md

The most powerful innovations emerge when knowledge flows freely across traditional disciplinary boundaries. By integrating tools and frameworks from seemingly disparate fields, we create the possibility for truly transformative approaches to our most complex challenges.