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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.
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3, Qwen3-MoE, DeepSeek-R1, GLM4.5, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Llava, …
Curated list of datasets and tools for post-training.
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / U…
Hierarchical Reasoning Model Official Release
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
An open-source AI agent that brings the power of Gemini directly into your terminal.
A third-party MNN server supporting external calls, embedding model, TTS model and ASR model features.一个支持外部调用、向量模型、文字转语音模型和语音识别模型特性的第三方MNN服务器
MMaDA - Open-Sourced Multimodal Large Diffusion Language Models (dLLMs with mixed-CoT and unified GRPO)
Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.
Open-source high-performance RISC-V processor
An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.
llm deploy project based mnn. This project has merged into MNN.
史上最大规模1.4亿知识图谱数据免费下载，知识图谱，通用知识图谱，融合了两千五百多万的实体，拥有亿级别的实体属性关系。
Few Shot Semantic Segmentation Papers
Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)
Antares: an automatic engine for multi-platform kernel generation and optimization. Supporting CPU, CUDA, ROCm, DirectX12, GraphCore, SYCL for CPU/GPU, OpenCL for AMD/NVIDIA, Android CPU/GPU backends.