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DOCUMENTED STARTING POINTS

216 projects

Selected for a documented reader task. Source review does not claim an execution test.

AI Developer Tools & SDKs

Genai Web

Genai Web is a web-based platform for government teams to manage generative AI applications, organize teams, and add apps built as external microservices.

Guide: Follow the documented GenAI Web setup sequence
RAG & Knowledge Systems

Genquest Rag

Genquest Rag is a question-generation application that retrieves relevant information from Wikipedia and uses retrieval-augmented generation with a Weaviate vector store to create context-aware, answer-aware questions.

Guide: Generate a question from an answer-marked passage
RAG & Knowledge Systems

Go Qdrant Rag Sample

Go Qdrant Rag Sample is a Go application demonstrating semantic search and retrieval-augmented question answering over product catalog data, using OpenAI models and Qdrant.

Guide: Start the local catalog search API
Wallets

Goki

Goki is a suite of Solana programs for key management and security, including a timelock-capable multisignature smart wallet and a token signer that authorizes transactions through NFT or token ownership.

Guide: Plan a staged transition of Goki signing control
Agent Frameworks

Google ADK Training

Google ADK Training is a multi-module, hands-on course in a GitHub repository that teaches developers to build, test, deploy, and observe AI agents with Google Agent Development Kit (ADK).

Guide: Set up the course and begin Module 1
AI APIs & Platforms

Google Bard API

Google Bard API is a Python FastAPI wrapper that exposes a REST endpoint for sending messages to Google Bard and receiving conversational responses.

Guide: Set up the local FastAPI server
AI Infrastructure & Serving

Gptqmodel

Gptqmodel is a Python toolkit for calibrating, quantizing, validating, saving, loading and running large language models.

Guide: Quantize and save a language model
AI Developer Tools & SDKs

Halo

Halo is an open-source Python framework for pre-training and post-training large language and multimodal models, including supervised fine-tuning, preference optimization, distillation and asynchronous multi-turn reinforcement learning.

Guide: Prepare a Halo training container
AI Developer Tools & SDKs

Hugnlp — wjn1996

HugNLP is a Python library based on Hugging Face Transformers that provides models, data processors and application workflows for natural-language-processing research and development.

Guide: Install HugNLP from the repository
AI Developer Tools & SDKs

Humanprompt

HumanPrompt is a Python framework for researchers to design, manage, share and use human-readable prompts and prompt-based methods with large language models.

Guide: Set up HumanPrompt for a research experiment
AI Infrastructure & Serving

Hummingbird — prayangshuuu

Hummingbird is a C17 runtime for local inference of open-source dense and Mixture of Experts language models.

Guide: Build Hummingbird from source
RAG & Knowledge Systems

Hybrid Search Rag

Hybrid Search Rag is a Python package for building retrieval-augmented generation workflows, with documented hybrid retrieval methods, Milvus ingestion, MLflow tracking, Ragas evaluation and asyncio support.

Guide: Build and install the package wheel
AI Models

Igr

Igr is a Python deep-learning research implementation that learns implicit signed distance functions from raw 2D or 3D point clouds, with or without normals.

Guide: Train and mesh a single point-cloud surface
Multi-Agent Systems

Insurance Agentic AI

Insurance Agentic AI is a Python insurance question-answering project with a Streamlit interface, a coordinator agent, and specialist agents for life, home and auto insurance.

Guide: Set up the project and launch its Streamlit interface
Exchanges & Trading

Jupiter V4 Arbitrage

Jupiter V4 Arbitrage is an open-source Node.js and TypeScript command-line script intended to attempt token arbitrage on Solana through Jupiter Aggregator API v4, configured with a private key and RPC endpoint.

Guide: Prepare the script environment
AI Models

Kb Albert

KB-ALBERT is a Korean pretrained language model based on the lightweight ALBERT architecture, designed for financial-domain and general Korean NLP tasks. It provides a foundation that can be fine-tuned for downstream work.

Guide: Request KB-ALBERT model files for non-commercial use
AI Models

Kosentencebert Skt

Kosentencebert Skt is a Python project for training Sentence-BERT-style Korean sentence-embedding models using SKT KoBERT.

Guide: Train an embedding model with the documented scripts
AI Infrastructure & Serving

Kvquant

KVQuant is a Python research project that reduces the memory footprint of long-context language-model inference by quantizing the model’s key-value cache to low precision.

Guide: Prepare KVQuant’s perplexity-reproduction workflow