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SGLang-Omni provides a specialized runtime for multi-stage inference of voice and multimodal models, handling the complex pipeline from audio encoding to speech synthesis.
A practical guide to fine-tuning 8B models on consumer hardware using Soup—a CLI tool that brings layer streaming and automated pipelines to small GPUs.
A look at fast-plate-ocr, a lightweight library for license plate recognition that achieves up to 14,000 plates per second using compact CCT models and ONNX Runtime.
Lightweight face tracking library optimized for CPU, delivering 30–60 fps even on older hardware without heavy neural network frameworks.
SD.Next is a fork of Automatic1111's WebUI that adds cross-platform support, efficient resource management, and built-in tools for image and video generation.
PyTorch Geometric provides an intuitive API for graph neural networks, handling sparse matrices and aggregation loops so you don't have to.
Discover a curated Korean ML learning roadmap with 3,000+ stars. From pandas basics to GANs and LLMs — a structured path through the noise.
Keras 3 unifies TensorFlow, PyTorch, and JAX in one framework. Get up to 350% performance boost by switching backends with a single line of code.
Diffusers is the most convenient way to work with diffusion models today. Learn about its key features, advantages, and how to get started.