byobu
text window manager, shell multiplexer, integrated DevOps environment.
HYSEN LABS DIRECTORY
Language tag · curated repositories and deep analysis.
text window manager, shell multiplexer, integrated DevOps environment.
QuantMind (open-source edition) is an AI-native, multi-market quant trading platform for individual developers and research teams. It deeply integrates Microsoft Qlib, RD-Agent factor evolution and TradingAgents multi-agent research, covering 300+ factor-mining dimensions, a 13-model machine learning/deep learning factory, high-performance Qlib backtesting, cross-sectional batch inference, 24/7 sentiment analysis, and deep integration with Tongdaxin (sector alerts, warning radar, lightning orders) plus live simulated trading. Supports A-shares, Hong Kong stocks, US stocks, futures and blockchain. Free for commercial use, deployed privately with one-click Docker Compose, with fully local data and models for strategy privacy.
Python audio and music signal processing library
A lightweight library for PyTorch training tools and utilities
GPTeam: An open-source multi-agent simulation
Self-hosted LLM router with a managed safety net. OpenAI-compatible. BYOK. Single-workspace. Streaming. For more advanced routing choose hosted OrcaRouter
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
Democratizing AI scientists with ToolUniverse
Optimized Agentic and LLM Bulk Processing Over Your Data
Real-time video and audio processing on Streamlit
A self-learning system for Claude Code that captures corrections, positive feedback, and preferences — then syncs them to CLAUDE.md and AGENTS.md.
Simulation of spiking neural networks (SNNs) using PyTorch.
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
Automated Machine Learning on Kubernetes
Deep probabilistic analysis of single-cell and spatial omics data
Implementation of Alphafold 3 from Google Deepmind in Pytorch
The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while preserving task state and making reliable progress on complex workflows. Features fresh-context execution, durable verified state, independent auditing, recoverable progress, and native Claude Code / Codex / OpenClaw integration.
Self hosted, real-time digital human agent platform. Build voice-first AI agents with WebRTC, persona memory, tools, RAG, and optional digital-human video.
Google, Naver multiprocess image web crawler (Selenium)