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The first Large Audio Language Model that enables native in-depth thinking, which is trained on large-scale audio Chain-of-Thought data.
心理健康大模型 (LLM x Mental Health), Pre & Post-training & Dataset & Evaluation & Depoly & RAG, with InternLM / Qwen / Baichuan / DeepSeek / Mixtral / LLama / GLM series models
Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.
Accepted as [NeurIPS 2024] Spotlight Presentation Paper
Agentic components of the Llama Stack APIs
AI wearables. Put it on, speak, transcribe, automatically
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
ai副业赚钱大集合，教你如何利用ai做一些副业项目，赚取更多额外收益。The Ultimate Guide to Making Money with AI Side Hustles: Learn how to leverage AI for some cool side gigs and rake in some extra cash. Check out the English versi…
Simple d-vector based Speaker Recognition (verification and identification) using Pytorch
A generative speech model for daily dialogue.
A toolkit for fine-tuning, inferencing, and evaluating GreenBitAI's LLMs.
This is the official implementation of the paper Soar: Design and Deployment of A Smart Roadside Infrastructure System for Autonomous Driving. (MobiCom 2024))
Simulation, multi-path estimation, and CBR parsing code of SIGCOMM2023 BeamSense CBR-Sensing
SGLang is a fast serving framework for large language models and vision language models.
An easy and fast way to create a Python GUI 🐍
[NeurIPS 2023] MotionGPT: Human Motion as a Foreign Language, a unified motion-language generation model using LLMs
an intro to retrieval augmented large language model
[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
[arXiv 2023] Embodied Task Planning with Large Language Models
DSPy: The framework for programming—not prompting—language models
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
[MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
airockchip / yolov5
Forked from ultralytics/yolov5YOLOv5 in PyTorch > ONNX > CoreML > TFLite