Domain Apps

OmniVoice Studio bundles voice cloning, dubbing, dictation, and TTS into a desktop app that keeps all audio processing off the internet and away from API keys.

A research framework that assigns LLMs to trading-floor roles—analyst, researcher, trader, risk manager—to debate and execute simulated stock decisions.

It gives LLM agents real brokerage access, then cages live trading inside strict mandates, kill switches, and audit ledgers.

It automates offensive security by delegating penetration-testing tasks to a team of specialized AI agents that run inside isolated Docker containers.

Strix deploys autonomous LLM agents to attack your applications and validate findings with working proof-of-concepts, trading the false-positive noise of static scanners for actual exploits.

It exists to bundle quantitative analytics, AI research, and live trading into one native desktop app for users who would rather not rent a Bloomberg terminal.

MAA automates the daily chores of Arknights by treating the game screen as a computer vision problem, using OpenCV and OCR to handle farming, recruitment, and base shifts without human tapping.

It exists so you can ask a database questions in English and let an agent write the SQL, run the Python, and generate the report without touching production unsupervised.

Companion notebooks for an 800-page quantitative finance textbook, from linear regression to deep reinforcement learning trading agents.

Genesis World wraps rigid-body, FEM, particle, and fluid solvers—plus a photo-realistic renderer and cross-platform compiler—into a single Python simulation stack for embodied AI research.

It gives retail traders a local GUI for stitching together data feeds, backtesters, and execution frameworks into an AI-themed quant workflow.

A PyTorch toolkit that treats robot learning like Hugging Face treats NLP: standardized datasets, pretrained policies, and one interface for many arms.

It exists to make gradient boosting fast and portable enough to run on a laptop or a billion-row cluster without changing code.

FinGPT offers lightweight, open-source financial LLMs and datasets as an alternative to million-dollar proprietary training runs like BloombergGPT.

An AI-powered resume builder that tailors your CV to specific job descriptions instead of spraying the same PDF everywhere.

It automates video transcription, translation, and dubbing while stubbornly insisting on single-line, human-readable subtitles.

To explore AI-driven trading, it orchestrates a committee of LLM agents cast as famous investors who analyze stocks and generate orders that never reach a market.

Because commodity WiFi already bounces off your body, RuView uses cheap ESP32 nodes to detect presence, vital signs, and even body pose without cameras or wearables.

OpenBB normalizes proprietary and public financial data so engineers can feed the same sources to Python scripts, REST APIs, Excel, and AI agents without rebuilding integrations.

This Chinese-localized fork rebuilds a multi-agent LLM trading framework in FastAPI and Vue, adds A-share data and domestic model support, and explicitly refuses to place live orders.