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tsdevictor/README.md

Tristan Devictor

Mathematics & Computer Science student at Columbia focused on mathematical machine learning, geometric/data-driven modeling, and applied systems.

Currently:

  • Researching Johnson-Lindenstrauss-style embedding guarantees for manifold-structured data
  • Building contrastive protein-ligand representation models

Selected repositories:

  • mathematical-ml: PCA, numerical linear algebra, SVMs, spectral methods, kernels, and MNIST neural nets
  • portus: scans codebases for commercial AI API usage and suggests open-source Hugging Face model replacements
  • threaded: Reddit audience-research and ranking tool with Flask, PRAW, GPT, and a lightweight frontend
  • ducky: local-first CLI for auditing AI coding-tool usage during development sessions
  • classic-ai-solvers: chess, Othello, Sudoku, and crossword solvers using search, backtracking, and board heuristics

Pinned Loading

  1. mathematical-ml mathematical-ml Public

    Numerical methods and mathematical machine learning algorithms implemented from scratch in Python/NumPy.

    Python

  2. portus portus Public

    Scans Python/JS/TS codebases for commercial AI API usage and suggests open-source Hugging Face model replacements.

    TypeScript

  3. threaded threaded Public

    Reddit community discovery tool that ranks subreddits by relevance, engagement, and outreach fit using Flask, PRAW, embeddings, and GPT-assisted analysis.

    Python

  4. ducky ducky Public

    Local-first CLI for auditing AI coding-tool usage during development sessions.

    JavaScript

  5. classic-ai-solvers classic-ai-solvers Public

    Classic AI/search solvers: chess, Othello, Sudoku, and crossword generation.

    Python