thinkerai's repositories
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
GLM-4
GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型
doccano
Open source annotation tool for machine learning practitioners.
cube-studio
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，支持sso登录，多租户，大数据平台对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU，边缘计算，serverless，标注平台，自动化标注，数据集管理，大模型微调，vllm大模型推理，llmops，私有知识库，AI模型应用商店，支持模型一键开发/推理/微调，支持国产cpu/gpu/npu芯片，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/spark/ray/volcano分布式
langchain4j
Java version of LangChain
PaddleNLP
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
anything-llm
The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
ollama4js
Java library for interacting with Ollama server.
elasticsearch
Free and Open, Distributed, RESTful Search Engine
chromadb-java-client
A thin client for Chroma Vector DB implemented in Java
ollama-webui-lite
Ollama WebUI Stripped 🦙
analysis-ik
🚌 The IK Analysis plugin integrates Lucene IK analyzer into Elasticsearch and OpenSearch, support customized dictionary.
myrrix-recommender
Stand-alone recommender system from Myrrix
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。
GitHub-English-Top-Charts
Help you discover excellent English projects and get rid of disturbing by other spoken language.
gpt-engineer
Specify what you want it to build, the AI asks for clarification, and then builds it.
GitHub520
:kissing_heart: 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）
label-studio-demo
结合 mmdetection 、 label studio 实现数据集自动标注、模型自动迭代的 AI 闭环
doccano_export
使用doccano标注工具同时导出实体和关系数据为空的解决办法。
SeetaFace6
SeetaFace 6: Newest open and free, full stack face recognization toolkit.
label-studio-master
数据标注工具label-studio汉化版
Medical-named-entity-recognition
本项目是针对医疗数据，进行命名实体识别。项目中有600份标注好的电子病历文本，共需识别含解剖部位、独立症状、症状描述、手术和药物五类实体。该领域的命名实体识别问题是自然语言处理中经典的序列标注问题。