All repos — GH Trending Explorer

Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.

SolarRenderer: Few-Step Generative Reference Rendering

Rebuild the object in a reference image as a code-only, procedural, quality-gated, animation-ready Three.js model. Token-efficient image-to-3D.

black-forest-labs / flux-3-image-klein

FLUX 3 Image Klein: reference inference code

VAST-AI-Research / EdenLive

Real-time generative rendering for interactive worlds, from any visual reference.

ArcReel / ArcReel

AI Agent 驱动的开源可自部署视频工作台：将小说与剧本转为角色、场景、道具资产、分镜、视频和剪映草稿，支持跨镜头一致性、多供应商与费用追踪 | Self-hosted AI video workspace for stories, storyboards and short-form video production

Luisacaotica / ComfyUI-MiniMaxH3Mod

🚧 Under construction — no-training RefMod reference adapters for MiniMax H3 (compress reference images/videos into tiny latents, no training needed).

MartinPuli / taste-library

Design references from Cosign's top 40 High Taste Companies, extracted with TasteLabs and indexed for AI agents.

proffitteoy / Mathematician-Humanizer

An evidence-based AI writing skill for clearer, more human mathematical prose, built from stylometry and reference-style analysis

anthropics / commerce-agents

Reference blueprint for building shopping and merchant agents with Claude. Examples in retail, commerce, telecom, and entertainment included.

google / adk-recipes

A collection of agent recipes, reference patterns, and vertical plugins built with Agent Development Kit (ADK)

ZhengPeng7 / BiRefNet

[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation

WecoAI / aideml

AIDE: an LLM agent for machine learning engineering - the research Weco grew out of. Referenced in OpenAI MLE-bench.

Songssx / ComfyUI-MiniMaxH3-TimelineDirector

Editable reference-media timeline director for ComfyUI MiniMax H3 Reference to Video

KimGLee / Cambium

Governance standard and reference toolset for LLM-maintained knowledge corpora

preferencemodel / karotte

A framework for building robust RL environments to train aligned AI.

HeartMuLa / MuLaCover

MuLaCover: controllable AI cover-song and music-remix generation from reference audio or MIDI

SatoDive / ComfyUI-H3-IMG-Gen-SatoDive

Simple ComfyUI nodes for MiniMax H3: exact output resolution, multi-reference images, single-pass generation, optional resolution-preserving detail refine.

KuOnoda / AutoRef

Official implementation of “Harness Optimization for Agentic Multi-Reference Image Generation”

Farama-Foundation / Gymnasium

A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Farama-Foundation / PettingZoo

A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Edwardxlai / easyread

把英文论文读成舒服的中文：本地 PDF 论文翻译、原文对照、边读边问 AI、文献管理。Read English papers in comfortable Chinese.

microsoft / Multi-Agent-Custom-Automation-Engine-Solution-Accelerator

The Multi-Agent Custom Automation Engine Solution Accelerator is an AI-driven system that manages a group of AI agents to accomplish tasks based on user input. Powered by Microsoft Agent Framework, Azure Foundry, Azure Cosmos DB, and infrastructure services, it provides a reference application, allowing you to hit the ground running.

OSideMedia / higgsfield-ai-prompt-skill

Claude AI skill for cinematic Higgsfield AI prompts — 32 sub-skills covering Seedance 2.5 (omni-reference, video edit + extend) and 2.0, the Hell Grind feature-film pipeline, an acting system, Cinema Studio 2.5/3.0/3.5, MCSLA, Soul ID consistency, Kling 3.0 Motion Control, the DISCIPLINE framework, and 18 templates.

yuedai-pbc / FINESSE-Financial-Reasoning-Agent

Reference implementation of FINESSE: self-reflective multi-agent financial reasoning with dynamic expert routing and ethical verification.

astropuzzo / ComfyUI-MiniMax-H3-Image-Studio

ComfyUI nodes and tested workflows for MiniMax H3 still-image generation, reference editing, and Qwen detail refinement.

lukapiskorec / craftbot

CraftBot is an architect AI agent. It interprets design briefs, grounds its thinking in domain knowledge through ingesting documents, images and other references, and outputs Python code that procedurally defines a building design.

thaakeno / ComfyUI-MiniMax-H3-Studio

Reference-aware MiniMax H3 still-image production studio for ComfyUI

jsChen-biostat / math-modelCN

数学建模资源，包含辅助建模、数据预处理、编程、论文写作、降aigc、查重、科研绘图等关键skill。创建者使用skill的大模型为deepseek harness v4.1 pro，但并非仅有dsh适配，skill内涵skill.md文件、README.md文件，reference文件夹及所需依赖，可以利用各种大模型agent进行安装，此外，库内还上传了数学建模workbench的自定义agent，涵盖着数学建模建模手，编程手，论文手三者分工流程及其他要点，使用该agent便于减少数学建模相关提示词的输入，配合各类skill能完成较为高质量的数学建模论文

Boki-Lee / MD-Master

Unified MD reference library: a 0–6 step workflow with runnable CNT ion-transport and umbrella-sampling free-energy templates.

zhenzoo / ai-sports-coach

Turn authorized motion references into a consistent AI digital-human sports coach, reusable action library, timed course, and voice-guided training experience.

huggingface / alignment-handbook

Robust recipes to align language models with human and AI preferences

commonmark / commonmark-spec

CommonMark spec, with reference implementations in C and JavaScript

morpheus65535 / bazarr

Bazarr is a companion application to Sonarr and Radarr. It manages and downloads subtitles based on your requirements. You define your preferences by TV show or movie and Bazarr takes care of everything for you.

vllm-project / production-stack

vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization

NVIDIA-AI-Blueprints / video-search-and-summarization

NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.

BayramAnnakov / claude-reflect

A self-learning system for Claude Code that captures corrections, positive feedback, and preferences — then syncs them to CLAUDE.md and AGENTS.md.

mlcommons / training

Reference implementations of MLPerf® training benchmarks

Farama-Foundation / Minari

A standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities

theupdateframework / python-tuf

Python reference implementation of The Update Framework (TUF)

rotemweiss57 / gpt-newspaper

GPT based autonomous agent designed to create personalized newspapers tailored to user preferences.

fmind / mlops-python-package

Production-shaped MLOps Python package and reference implementation of the MLOps Coding Course: MLflow, scikit-learn, Pydantic, Pandera, uv, and mise.

Francis-Rings / StableAvatar

[NeurIPS2026] We present StableAvatar, the first end-to-end video diffusion transformer, which synthesizes infinite-length high-quality audio-driven avatar videos without any post-processing, conditioned on a reference image and audio.

scverse / gget

🧬 gget enables efficient querying of genomic reference databases

bterwijn / memory_graph

Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy.

Farama-Foundation / MAgent2

An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments

AgileRL / AgileRL

The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.

NVIDIA-AI-Blueprints / deep-researcher-agent

The NVIDIA Deep Researcher Agent Blueprint is an open reference example for building intelligent AI agents that connect to your enterprise data, reason using state-of-the-art models, and deliver trusted business insights.

jonigl / mcp-client-for-ollama

Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.