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Simple web app example serving a PyTorch model using streamlit and FastAPI
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
使用sentence-transformers（SBert）训练自己的文本相似度数据集并进行评估。
Question and Answer based on Anything.
Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
《大模型白盒子构建指南》：一个全手搓的Tiny-Universe
《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
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…
Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合
[ICLR'24] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
A curated list of prompt-based paper in computer vision and vision-language learning.
A curated list of important published computer vision paper on a weekly basis
[NeurIPS2023] DatasetDM:Synthesizing Data with Perception Annotations Using Diffusion Models
The official GitHub page for the survey paper "A Survey of Large Language Models".
a solid and strong baseline of pedestrian attribute recognition
Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
基于Flask开发后端、VUE开发前端框架，在WEB端部署YOLOv5目标检测模型
ModelScope: bring the notion of Model-as-a-Service to life.
Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"