DanKoan's repositories
langgraph-studio
Desktop app for prototyping and debugging LangGraph applications locally.
networkx
Network Analysis in Python
LongWriter
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs
Targeted-Cause-Discovery
Official implementation for "Targeted Cause Discovery with Data-Driven Learning"
RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
MindSearch
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
MoA
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
relik
Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)
pandoc-crossref
Pandoc filter for cross-references
agent-zero
Agent Zero AI framework
groq-moa
Mixture of Agents using Groq
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
fabric
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
llm-graph-builder
Neo4j graph construction from unstructured data using LLMs
graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
atomic_agents
Building AI agents, atomically
NaLLM
Repository for the NaLLM project
Gource
software version control visualization
clinical-agent
This project is designed for a simple LLM agent with tools on a clinical knowledge graph in Neo4j.
pandas-ai
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
research_assistant
CodeBase for Research Assistant application
kor
LLM(😽)
SciHubEVA
A Cross Platform Sci-Hub GUI Application
healthcare-analytics
Load and analyze FDA Adverse Event Reporting System data with Neo4j
Scrapegraph-ai
Python scraper based on AI
LLMLingua
To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
litgpt
Pretrain, finetune, deploy 20+ LLMs on your own data. Uses state-of-the-art techniques: flash attention, FSDP, 4-bit, LoRA, and more.