Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.

🪄 Create rich visualizations with AI

This repository contains the Hugging Face Agents Course.

PyTorch implementation of "ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data" (AAAI 2025 [oral])

[EMNLP 2024] DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models

lightweight, python based chat ui

InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks (ICML 2024)

DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing. Now expanding into crypto market intelligence. Learn more: https://datagen.dig…

Data Analyzer with LLM Agents is an application that utilizes advanced language models to analyze CSV files. It offers automatic descriptive statistics, data visualization, and the ability to ask q…

Provide a DTDL v2 implementation of the Industry 4.0 Asset Administration shell ontology

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Generate AAS models from PDF raw text with LLM. (still under construction)

Implementation and evaluation of multimodal RAG with text and image inputs for industrial applications

Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget)

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

Scale from single vLLM instance to distributed vLLM deployment without changing any application code.

Everything you need to build state-of-the-art foundation models, end-to-end.

SceneGenAgent: Precise Industrial Scene Generation with Coding Agent

🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents.

A python program that turns an LLM, running on Ollama, into an automated researcher, which will with a single query determine focus areas to investigate, do websearches and scrape content from vari…

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

Interesting LLM projects that I created for my YouTube channel using Ollama's open-source models.

Official implementation of paper: SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.