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TranslatedPython open-source project "The Road to Self-Taught Programming", with step-by-step tutorials for beginners: AI Lab, treasure videos, data structures, study guides, hands-on machine learning, hands-on deep learning, web crawlers, big-company interview experiences, programmer life, resource sharing.

Translated:orange_book: Chinese Xinhua Dictionary database. Includes xiehouyu (two-part allegorical sayings), idioms, words, and Chinese characters.

  • data
  • scraper
  • chinese-traditional
  • python3

Automated penetration testing & attack surface management platform. Recon, scan, exploit, report - 600+ exploits, 90+ integrations, 10K+ detections.

  • sn1per
  • sn1per-professional
  • bugbounty-platform
  • attack-surface

Translated:zap: Machine Learning in Action (Python3): kNN, decision tree, Bayes, logistic regression, SVM, linear regression, tree regression

  • adaboost
  • logistic
  • svm
  • smo

TranslatedWeChat assistant: 1. Sends customized messages to friends (a girlfriend) at scheduled times every day. 2. A bot automatically replies to friends. 3. Group assistant features (for example: looking up garbage sorting, weather, calendar, real-time movie box office, express delivery tracking, PM2.5, etc.)

  • python
  • python3
  • wechat
  • itchat

Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own

  • decision-model
  • jev
  • qwen3

~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.

  • academia
  • arxiv
  • brave
  • deep-research

WinMerge is an Open Source differencing and merging tool for Windows. WinMerge can compare both folders and files, presenting differences in a visual text format that is easy to understand and handle.

Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code

  • llm
  • on-device-ai
  • sdk
  • vlm

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.