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TranslatedLLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

  • python
  • profiling
  • performance-analysis
  • cpu-profiling

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

  • adaboost
  • logistic
  • svm
  • smo

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

Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.

Eleven Claude skills that run a YouTube channel: scripts off 21 hook formulas with a scored hook, title and thumbnail linted as one pairing, an edit decision list from your transcript, a retention reader that finds where viewers actually leave, a Shorts cutter, and a virality engine. Free, MIT.

TranslatedNon-autoregressive System 1 decision engine, designed for structured, typed decision-making scenarios. DeepOpen Multilingual, non-autoregressive System 1 decision engine.

Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.

A full spaCy pipeline and models for scientific/biomedical documents.

  • scientific-documents
  • spacy
  • custom-pipes
  • nlp

Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.

  • agents
  • calibration
  • classification
  • decision-making

Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)

  • calibration
  • decision-model
  • jev
  • jev-model

Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.

A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.