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Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more).

Imagination Studio by keys+Wasserman powered by TensorFold: an AI film studio for Mac and NVIDIA DGX Spark. Plan a film like a crew (Slate workflow by Sam Wasserman), render Qwen-Image-2.1 / FLUX3-K pictures and MiniMax H3 / FastH3 video with sound on TensorFold.

  • apple-silicon
  • minimax-h3
  • mlx
  • qwen-image

Verify that the PowerPoint you are about to deliver is exactly the PPTX that passed QA—locally, offline, and with tamper-evident evidence.

  • artifact-integrity
  • pptx
  • python
  • supply-chain-security

An Intelligent wordlist generator based on user profiling, permutations, and statistics. (Named after the same tool in Mr.Robot series S01E01)

Fuzzy abbreviations, support for preprocessors (Sass, Less, Stylus) and a lot of other features in easily configurable set of tools for writing CSS faster

  • sublime-text-3
  • sublime-package
  • snippets
  • abbreviations

Your own Google TV home screen and phone remote, with an optional Claude assistant. Set it up by handing this repo to your AI agent.

Wallet UI simulation tool for BTC, ETH, SOL, XRP, and 200+ assets. Customize displayed balances in a controlled demo environment with persistent visual settings and screenshot-ready previews. Designed for testing, demonstrations, and UI prototyping without altering actual blockchain balances or transactions.

  • bitcoin-transaction-tool
  • browser-crypto-wallet
  • crypto-broadcast-api
  • electrum-payment

Multi-chain crypto wallet risk scanner for AML/KYT screening. Scores addresses 0–100 using sanctions, risky contracts and fund tracing. Integrates 6 intelligence providers with failover, detects scams, hacks, mixers and phishing, supports 15+ chains, batch screening and TXT/JSON/CSV/HTML/PDF reports. Python, cross-platform.

  • aml
  • antimoneylaundering
  • blockchain-intelligence
  • blockchain-security-solutions

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

  • deep-learning
  • protein-sequences
  • protein-structure
  • semi-supervised-learning