The open source platform for AI-native application development.
- ai
- ai-native
- generative-ai
- gpt
Repository Index
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TranslatedConverts Antigravity into OpenAI, GEMINI, and Claude API interfaces
- gemini
- gemini-ai
- gemini-api
- gemini-pro
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
- ai
- ast
- claude-code
- code-analysis
Neo4j graph construction from unstructured data using LLMs
- data-import
- genai
- graph
- graph-rag
Your Friendly Open-Source Gen-AI Platform
- generative
- colaboratory
- colaboratory-notebook
- gan
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
- ai
- chain-of-thought
- collaboration
- dataset-generation
State of the art inference performance with modern accelerators on Kubernetes
Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM
- machinelearning
- huggingface-transformers
- computer-vision
- llm
A Next-Generation Training Engine Built for Ultra-Large MoE Models
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
Train the smallest LM you can that fits in 16MB. Best model wins!
The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime.
Repair malformed JSON from LLMs, APIs, logs, and user input in Python.
Translated:herb: Chinese synonyms: chatbot, intelligent question answering toolkit
Translatedcube studio is an open-source, cloud-native, one-stop machine learning / deep learning / large model AI platform. It covers the full mlops algorithm pipeline, a computing power rental platform, online notebook development, drag-and-drop task flow pipeline orchestration, multi-machine multi-GPU distributed training, hyperparameter search, inference services with VGPU virtualization, edge computing, a labeling platform with automated labeling, SFT fine-tuning / reward model / reinforcement learning training for large models such as deepseek, multi-machine large model inference with vllm/ollama/mindie, a private knowledge base, and an AI model marketplace. It supports domestic Chinese CPUs/GPUs/NPUs and the Ascend ecosystem, supports RDMA, and supports distributed frameworks such as pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano.
The simplest, fastest repository for training/finetuning small-sized VLMs.
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
TranslatedRepo for BenCao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge.
Translatedtext2vec, text to vector. A text vector representation tool that converts text into vector matrices. It implements text representation and text similarity calculation models such as Word2Vec, RankBM25, Sentence-BERT, and CoSENT, and works out of the box.
- similarity
- nlp
- text-similarity
- text2vec
OpenKB: Open LLM Knowledge Base
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
A Bulletproof Way to Generate Structured JSON from Language Models