sgl-project/sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
A star delta has been computed for 63,087 of 63,709 tracked repositories in this period, and only those can be ranked in it.
A repository missing here has not been measured far enough back yet. That does not mean it did not move.
Star counts measured between 09:41 and 02:54 (BKK).
SGLang is a high-performance serving framework for large language models and multimodal models.
A framework for efficient model inference with omni-modality models
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Zig backend, Swift frontend macOS app with chat, music, voice, video generation.
Looking Ahead: Modeling Future Evolution in Autoregressive Video Generation
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Your Friendly Open-Source Gen-AI Platform
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++
Open data and scalable training for long-horizon video world models.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A Datacenter Scale Distributed Inference Serving Framework
Iris-3B: pixel-space generation & general vision learner. A 3B diffusion transformer that generates every pixel directly (no VAE); the same prior, fine-tuned, does monocular depth estimation and 4x image restoration. Paper, weights, training code and demo.
Fast stable diffusion on CPU and AI PC
Bilingual (中文+EN) ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — generated by ARIS /interview-cheatsheet, rendered by /render-html into single-file HTML, reads anywhere — plus a CV→DBLP-fact-checked academic homepage generator and hand-authored long-form blogs 🌱
Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.
The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.
AgentGarten: Code Worlds for Evolving Agents
An easy 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.
Omega-AI is a Java-based deep learning framework that helps you quickly build neural networks for inference and training. Its engine supports automatic differentiation, multithreading, and GPU acceleration with CUDA and cuDNN.
DMAD: Distribution Matching as Adversarial Distillation for Fast Visual Generation
A high-performance, universal serving framework for any-to-any models.
Auto get diffusion nlp papers in Axriv. More papers Information can be found in another repository "Diffusion-LM-Papers".
Scalable and memory-optimized training of diffusion models
Local Qwen-Image-2.1 studio for Apple Silicon: text-to-image, multi-image editing and prompt enhancing, with a CLI and a helmstudio web UI.
[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal Forcing++
A unified framework for easy fine-tuning in Flow-Matching models
Official implementation of "Hierarchical Continuous Diffusion Language Models"
Iris-3B pixel-space text-to-image on Apple Silicon GPUs: Metal-optimized engine, native macOS app, CLI, Python and local HTTP API
That's all 29 repositories in this period.