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Timwood0x10/README.md

🧠 About Me

struct Developer {
    name: &'static str,
    identity: &'static str,
    focus: Vec<&'static str>,
    languages: Vec<&'static str>,
    philosophy: &'static str,
}

impl Developer {
    fn new() -> Self {
        Developer {
            name: "TimWood 0x10",
            identity: "Timwood0x10",
            focus: vec![
                "Memory Safety & Runtime Visualization",
                "Static Analysis & Compiler Tooling (LLVM)",
                "Neural Network Interpretability & Profiling",
                "High-Performance Agent Frameworks",
            ],
            languages: vec!["Rust", "Go", "Zig", "Python"],
            philosophy: "At the intersection of systems programming and AI, I explore the deep logic of code.
                         Never settling for 'it works' β€” I demand to understand why.",
        }
    }
}

Former Web3 engineer. Currently building tools that understand memory β€” because Valgrind doesn't know what Arc<Rc<Box<...>>> means, and someone has to fix that.

Profile Views


πŸ—οΈ Systems & Infrastructure

πŸ”¬ memscope-rs

Rust runtime memory analysis tool

Variable-level memory tracking that Valgrind and AddressSanitizer can't do.

  • 🎯 7 detectors (leak, UAF, double-free, data race...)
  • πŸ“Š HTML interactive dashboard
  • 🧡 Async task-level memory attribution
  • πŸ”— Arc/Rc clone detection & cycle detection
  • ⚑ <5% tracking overhead, 4-thread super-linear scaling
  • πŸ“ 112K lines, 2,483 tests, 0 production panic

Rust GlobalAlloc UTI-Engine Ownership-Graph

πŸ”­ OmniScope

LLVM IR static safety analysis in Zig

Static unsafe/FFI boundary analysis at the LLVM IR level.

  • πŸ” Unsafe block boundary detection
  • πŸ”— FFI call chain tracing
  • πŸ›‘οΈ Safety-first analysis philosophy

Zig LLVM-IR FFI Static-Analysis

⚑ go-scheduler

Minimal GPU scheduler for AI workloads

Simple. Deterministic. Reliable.

  • 🎯 Designed for inference workloads
  • πŸ“ Deterministic scheduling
  • πŸš€ Minimal overhead

Go GPU Scheduler AI

🌐 ethermint

EVM-compatible blockchain in Go

Fork from Evmos, ported Tendermint to sei-tendermint.

  • ⛓️ EVM compatibility layer
  • πŸ”§ Tendermint consensus adaptation
  • πŸ“¦ Full blockchain node

Go EVM Tendermint Blockchain


πŸ€– AI & LLM

πŸ€– go-agent

Multi-agent framework in Go

Custom agent framework with memory distillation and vector search.

  • 🧠 Multi-agent orchestration
  • πŸ“ Memory distillation with PGVector
  • πŸ” Embedding-based retrieval
  • πŸ”„ Multi-round reasoning loops

Go AI-Agents PGVector Embedding

🎨 StyleAgent

AI-powered outfit recommendation system

  • 🧠 AI-based style analysis
  • πŸ‘• Outfit recommendation engine
  • πŸ“Έ Image understanding pipeline

Python AI Recommendation Computer-Vision

πŸ“ˆ predict

Crypto currency Decision Engine

  • πŸ“Š Market data analysis
  • πŸ€– ML-based prediction pipeline
  • πŸ’Ή Trading signal generation

Python ML Crypto Finance


πŸ“š Teaching & Visualization

πŸ“ Basic_math

Interactive ML math visualization system

32 interactive modules, 150+ Manim animations, 8 learning paths.

  • 🎯 32 modules: linear algebra, optimization, DL, frontier
  • 🎬 150+ Manim animation scenes
  • πŸ“Š Real-time parameter tuning & observation
  • πŸ—ΊοΈ 133 concepts, 20-layer dependency graph
  • πŸ“ Transformer parameter/FLOPs/memory calculators

Python Streamlit Manim Math-Education

πŸ—οΈ Transformer_explorer

Transformer & Mamba architecture visualization

Math-driven deep learning architecture explainer with animations.

  • 🎬 Manim animations: Encoder, Decoder, Cross Attention, RoPE
  • 🐍 Mamba SSM: selective mechanism, discretization
  • πŸ”¬ Interactive: attention computation, softmax temperature
  • πŸ“Š Training: AdamW, BPE, mixed precision, loss analysis
  • ⚑ Transformer vs Mamba complexity comparison

Python Manim Streamlit Transformer

Neural network computation anatomy lab

Layer-by-layer parameter, FLOPs and numerical computation analysis.

  • πŸ”’ 8 layer types: Conv2d, Linear, MHA, LSTM, Embedding...
  • πŸ“Š 7 networks: ResNet, VGG, BERT, GPT-2, ViT...
  • ⚑ Parameter/FLOPs/memory analysis with optimization tips
  • πŸ›οΈ Failure case museum: gradient vanishing, parameter explosion
  • 🧬 Single neuron analysis: Sigmoid, Tanh, ReLU, LSTM, GRU

Python Streamlit PyTorch Visualization

πŸ“– beginML

ML notes & tutorials

Beginner-friendly machine learning learning materials.

  • πŸ“ Comprehensive ML notes
  • 🎯 From zero to practice
  • 🌐 Interactive HTML format

HTML Machine-Learning Education


πŸ“Š Stats

GitHub Statistics Top Languages

Contribution Graph

Snake Animation


πŸ› οΈ Tech Stack

Systems AI & Data Teaching

πŸ’‘ Philosophy

$ philosophy --query "what drives you"
> "In the world of 0x10, every line of code is an exploration.
>  From Rust's memory safety to Zig's low-level control,
>  From Transformer attention to LLVM instruction streams,
>  I believe: understand the foundations, then build the future.
>  Never settle for 'it works' β€” dig deeper."

Think boldly. Implement carefully. Question everything.

Pinned Loading

  1. memscope-rs memscope-rs Public

    Rust memory visualization analysis tool

    Rust 16 4

  2. just-for-dream-0x10/Transformer_explorer just-for-dream-0x10/Transformer_explorer Public

    Transformer_explorer

    Python 2 1

  3. goagent goagent Public

    A custom agent framework implemented in Go.

    Go 7 2

  4. OmniScope OmniScope Public

    This Zig-based LLVM analysis framework focuses on static unsafe/ffi boundary analysis.

    Zig 12 2

  5. garbage-code-hunter garbage-code-hunter Public

    garbage-code-hunter

    Rust 6

  6. CodeTribunal CodeTribunal Public

    An AI-powered code review roundtable where multiple LLM agents debate and critique your code.

    Go 3