Upsonic
Build autonomous AI agents in Python.
RÉPERTOIRE HYSEN LABS
Des dépôts sélectionnés avec une taxonomie précise, des métadonnées vérifiées et un contexte pratique.
Build autonomous AI agents in Python.
🪓 An orchestration engine for background tasks, AI agents, and durable workflows
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Possédez votre IA. Le macOS natif exploite pour les agents IA n’importe quel modèle, mémoire persistante, exécution autonome, identité cryptographique. Construit en Swift. Entièrement hors ligne. Source ouverte.
Open-source Claude Design alternative. One-click import your Claude Code / Codex API key. Prompt → prototype / slides / PDF. Multi-model (Claude, GPT, Gemini, Kimi, GLM, Ollama). BYOK, local-first, MIT.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Coroot is an open-source observability and APM tool with AI-powered Root Cause Analysis. It combines metrics, logs, traces, continuous profiling, and SLO-based alerting with predefined dashboards and inspections.
Worktrunk is a CLI for Git worktree management, designed for parallel AI agent workflows
Aperçu du projet : Une plateforme d'ingénierie du chaos pour Kubernetes. Pour abaisser le seuil d'un projet Chaos Engineering, Chaos Mesh vous propose une opération de visualisation.
An EVM compatible Substrate chain, powered by StorageHub and secured by EigenLayer
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Woodpecker est un moteur CI/CD simple mais puissant avec une grande extensibilité.
The most powerful AI agent and AI chat software on Android/Operit是一款Android上能力最为强大、发展最久的AI Agent
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Capture des métriques au niveau de la JVM et des applications. Donc tu sais ce qui se passe.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
World's first open-source enterprise world model.
Flexible and powerful framework for managing multiple AI agents and handling complex conversations