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分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.
一款简单易用和高性能的AI部署框架 | An Easy-to-Use and High-Performance AI Deployment Framework
Wan: Open and Advanced Large-Scale Video Generative Models
A lightweight, production-ready C++ library for LLM tokenization, fully compatible with HuggingFace tokenizer.json.
A lightweight, single-header C++11 Jinja2 template engine for LLM chat templates.
A collection of practical, end-to-end AI application examples accelerated by MemryX hardware and software solutions. This repository offers examples for real-time video inference, object detection…
A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks …
The repository provides code for running inference with the Meta Segment Anything Model 3 (SAM 3).
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
Multi-stream video inference with Ultralytics YOLO - Display multiple video streams in a grid layout with real-time object detection.
🤗 Optimum ONNX: Export your model to ONNX and run inference with ONNX Runtime
A high-performance tool for video upscaling, interpolation, depth estimation, and more. Available as a CLI and Adobe Extension.
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools