CORTEX RAG is an enterprise retrieval and knowledge assistant that helps teams find accurate answers from company data with citations, permission-aware retrieval, and fast deployment
A wiki system with complex functionality for simple integration and a superb interface. Store your knowledge with style: Use django models.
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
Unsupervised time series anomaly detection library
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).
🤗 image matching webui
Docker-qBittorrent-Enhanced-Edition
Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL
Composable GAN framework with api and user interface
[IEEE T-KDE 2026] Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Gymnasium environments for NES Mario games, with task metadata, reward instrumentation, and reproducible evaluation interfaces.
Official implementation of EVOKE: Endless Interactive World with Bounded State and Long-Horizon Supervision. A three-step, CFG-free interactive world model. SOTA on WBench.
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
面向小白用户的 CTF / 逆向 Skills 整合包:自动分流、头脑风暴、教学模式、比赛模式、只提示模式
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
Kubeflow’s superfood for Data Scientists
All image quality metrics you need in one package.
Real-time anomaly detection for time series metrics. 11 years of production anomaly detection evolution. Multi-algorithm ensembles. Pattern recognition using semi-supervised and unsupervised learning. Correlation analysis. Learns and gets better over time. No GPU required, can run on a VPS.
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.
All RTL9210(A/B) firmwares, tools, dump, infos ect...
Supercharge your command line with LLMs and get shell scripting assistance in Fish. 💪
Supervisely SDK for Python - convenient way to automate, customize and extend Supervisely Platform for your computer vision task
Python driver/sqlalchemy/superset connectors
Add-on for Home Assistant to connect JK, JBD, Daly, ANT, SOK, Supervolt and other BMS via Bluetooth
torch_musa is an open source repository based on PyTorch, which can make full use of the super computing power of MooreThreads graphics cards.
A TypeSafe/Jev agent that plays Super Mario Bros. from structured emulator state.
Superfast action layer for computer-use agents, on MacOS.
ComfyUI wrapper for VOSR 2.0, a image super resolution model
Change SNES games with AI while you play them.
Inkwell: a small app, the Super Simple Software Factory that builds it, and the rebootable sandbox system that runs both on a throwaway VM.
First Attempt on IMU "Foundation Model"
Open-source skills that empower any AI agent (Claude, Cursor, Hermes, etc.) to generate end-to-end marketing campaigns - UGC videos, ad videos, product photography and more.
Open-source agent execution-recovery controller for coding and tool-using AI agents.
AI Agent 面试真题库:300 + 道大厂真实面试题(附答题框架)+ Java/Python/Go 语言八股文 + 2 个持续迭代 Agent 项目档案。AI Agent 面试准备、大模型应用开发面试、后端面试八股
Iris-3B pixel-space text-to-image on Apple Silicon GPUs: Metal-optimized engine, native macOS app, CLI, Python and local HTTP API
Supersimple way to serve LLMs as a Jev-like endpoint
NVIDIA RTX Video Super Resolution for ComfyUI, optimized for long videos with disk-backed processing and low RAM usage. Supports AI upscaling, denoising, deblurring, H.264/HEVC NVENC encoding, audio preservation, and an integrated video preview.
AI-powered Labour Law Violation Detection System using Weak Supervision, BiLSTM, Graph Neural Networks (GNN), and Explainable AI to identify labour law violations.
Claude Code skill: turn one talking-head take into a kinetic supers + camera whips prompt for Seedance 2.0 Fast — same face, same room, same lip sync, no editing timeline.
Self-hosted shopping intelligence platform with native serverless Android app and optional Docker web service.
Workflow-compatible NVIDIA RTX Video Super Resolution Pro node for ComfyUI with exact 16K hybrid output, RGB corruption protection, and mm + DPI print sizing.
A Super Mario 64 demake built in Scratch
LAtent super-Resolution high-Performance image upscaler
Nerve is a supervisory nervous system for Hermes agents, adding typed System One decisions, ranking, verification, token-aware oversight, and an opt-in tool gate powered by TypeSafe Jev or Open Source Laya
Phoneme alignment based on a variational autoencoder (VAE) and self-supervised learning (SSL) acoustic features.
A modern Mac app and open driver for the Nikon Super Coolscan 5000 ED
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Skill que dá super poderes de gestão de produto as pessoas
🚗 AUGUstus: Autonomous Driving VLA Model with Unified Generation and Understanding. 🏋️ 512 H800 GPUs · ~2 days · 318K+ video hours · 513B+ training tokens. ⚡ 12 Hz on-vehicle deployment. SFT + GRPO + NAVSIM.
Ultimate assistant for Forza Horizon 6. Features: Unlimited Credits, Unlock All Cars, Speed Hack, Vehicle God Mode, Super Jump, Teleport, and more. 20+ functions.
GPU-native NES emulator + RL stack: thousands of parallel NES envs on one CUDA GPU, training agents on Super Mario Bros.
Superproject for local scientific agents, simulation-result adapters, and secure research workflows
Unofficial Windows ComfyUI nodes for NVIDIA DLSS Super Resolution and experimental Neural Rendering, with still and video workflows.
MimicX: Policy-in-the-Loop Supervision Refinement for Video-Driven Humanoid Motion Tracking
Battle-tested agent skills for Product Builders. Part of the Product Builder OS by Superhero.tech: Super Brain for context, skills for action, built from 32+ years of combined product experience and pressure-tested with 1,800 builders.
Agente autónomo para LALIGA Fantasy: lee el juego, decide y actúa (pujas, ventas, clausulazos, alineación). Python stdlib + agente LLM opcional (Hermes) + UI de supervisión.