ComfyUI
Comfy Org · Voice, vision & multimodal AI
Open-source node-based interface and inference engine for diffusion and other generative models (image, video, audio, 3D), runnable locally with desktop apps or as a hosted cloud
9 tools
Comfy Org · Voice, vision & multimodal AI
Open-source node-based interface and inference engine for diffusion and other generative models (image, video, audio, 3D), runnable locally with desktop apps or as a hosted cloud
Apple Inc. · Apple Silicon ML & MLX
Apple's on-device machine-learning runtime for iOS and macOS apps, with the open-source coremltools package for converting PyTorch and other models to its format
Exo Labs · Distributed & parallel computing
Open-source software that pools several Apple Silicon Macs (and Linux hosts) into one local inference cluster, sharding large models across devices with MLX
Apple Inc. · Apple Silicon ML & MLX
Apple's open-source array framework for machine learning on Apple Silicon, with NumPy-like Python, C++ and Swift APIs and unified CPU/GPU memory
Apple Inc. · Apple Silicon ML & MLX
Python package and CLI for running, serving, quantizing and fine-tuning large language models on Apple Silicon with MLX
Ray project (Anyscale and contributors) · Distributed & parallel computing
Open-source Python framework for distributing tasks, actors and ML workloads across a cluster, with libraries for data processing, training, tuning, serving and reinforcement learning
Hugging Face · Training & fine-tuning
Hugging Face's model-definition library for text, vision, audio, video and multimodal models, with Pipeline, Trainer and generate APIs used as the reference by training and inference engines
Unsloth AI · Training & fine-tuning
Open-source framework for fine-tuning and running LLMs with reduced memory, covering LoRA, QLoRA, full fine-tuning and RL, GGUF export, Dynamic quantizations and a local Studio/Desktop UI
vLLM project (originated at UC Berkeley Sky Computing Lab) · Local LLM inference & serving
High-throughput LLM inference and serving engine with PagedAttention, continuous batching, quantization and an OpenAI-compatible server for GPU and accelerator clusters
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