🧠 Train a 64M-parameter LLM from scratch in just 2h!
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20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
A collection of libraries to optimise AI model performances
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
- tensorlayer
- deep-learning
- tensorflow
- neural-network
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
- openai-gym
- openai-gym-environments
- robotics
- tensorflow
The foundation layer for agentic intelligence.
Run many AI agents at once on your Mac, up to 3x faster.
- agents
- apple-silicon
- artificial-intelligence
- inference-acceleration
MCP server that connects AI agents to your running Neovim instance via msgpack-RPC — no plugins required.