pytorch/ELF

Health v2 · maintenance only

Flags: archived no_license

Adoption not part of the score

3411 stars · 571 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

ELF is an extensive, lightweight, and flexible C++/Python platform for game research, best known for ELF OpenGo, a full AlphaGoZero/AlphaZero reimplementation that beat professional Go players. It provides RL environments and self-play training infrastructure for games like Go and real-time strategy games.

Use cases

• train an AlphaZero-style Go bot
• run self-play reinforcement learning for board games
• reproduce AlphaGoZero research results
• build RL environments for real-time strategy games
• analyze human Go games with a strong AI model
• research distributed RL training with GPU acceleration

When to choose

• you need a proven AlphaZero reimplementation with pretrained Go models
• you are doing RL game research on Linux with CUDA GPUs
• you want a high-performance C++ game environment for RL experiments

When to avoid

• you need production-quality, well-documented software
• you develop on Windows or macOS
• you want a maintained project with active releases
• you need a general-purpose RL library with broad algorithm support

Facets

framework · maturity maintenance

reinforcement-learning machine-learning game-engine simulation reinforcement-learning machine-learning cpp python alphago-zero alpha-zero go board-games self-play research-code facebook-research game-development research linux gpu

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For agents

markdown · JSON · MCP: product_card(name="pytorch/ELF")