Starred repositories
A generative speech model for daily dialogue.
Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning
Fay is an open-source digital human framework integrating language models and digital characters. It offers retail, assistant, and agent versions for diverse applications like virtual shopping guid…
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
A modular graph-based Retrieval-Augmented Generation (RAG) system
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
Repository of DISC-MedLLM, it is a comprehensive solution that leverages Large Language Models (LLMs) to provide accurate and truthful medical response in end-to-end conversational healthcare servi…
Chinese medical dialogue data 中文医疗对话数据集
The most cited deep learning papers
[ICLR2023] Official repository of DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
a state-of-the-art-level open visual language model | 多模态预训练模型
Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型
Open-Sora: Democratizing Efficient Video Production for All
🦜🔗 Build context-aware reasoning applications
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, le…
Intro to WebGL with Three.js presentation
WebGL Volume Rendering made easy
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
👨🏻💻👩🏻💻 Use Ant Design like a Pro!