BAML is a language that helps you get structured data from LLMs, with the best DX possible. Works with all languages. Check out the promptfiddle.com playground

SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.

Build multi-modal Agents with memory, knowledge, tools and reasoning. Chat with them using a beautiful Agent UI.

A Python library that helps data scientists to infer causation rather than observing correlation.

The repository implements HyCoSBM probabilistic model for hypergraphs that can incorporate node attributes for improved inference.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

[NeurIPS'24] HippoRAG is a novel RAG framework inspired by human long-term memory that enables LLMs to continuously integrate knowledge across external documents. RAG + Knowledge Graphs + Personali…

One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure

Source code for WWW 2024 paper "VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation."

Claude API Test Project

VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Creating beautiful plots of data maps

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Code for binary hypegraphs using a Mixed-Membership SBM

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Graph Neural Network Library for PyTorch

Summer Institutes in Computational Social Science