Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

Python tool for converting files and office documents to Markdown.

A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

Official Implementation of "Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning"

Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM

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…

Paper list of multi-agent reinforcement learning (MARL)

Agent Framework / shim to use Pydantic with LLMs

Simple, unified interface to multiple Generative AI providers

List of papers on Self-Correction of LLMs.

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

AG2 (formerly AutoGen): The Open-Source AgentOS. Join us at: https://discord.gg/pAbnFJrkgZ

This protocol demonstrates how to integrate RAG into Agents

Construction of a 3D whole organism spatial atlas by joint modeling of multiple slices

Repository containing the code to reproduce the analyses contained in the MEFISTO manuscript

Multi-Omics Factor Analysis

MERFISH decoding software

DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback

cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffDock, MACE, Allegro and NEQUIP, based on equivariant neural n…

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Prediction of drug-target interactions using a knowledge graph that includes the cancer targetome resource

Hypergraph Representation Learning for Cancer Drug Response Prediction

Hierarchical graph representation learning with multi-granularity features for anti-cancer drug response prediction

Predicting cancer drug response using parallel heterogeneous graph convolutional networks with neighborhood interactions

Improving anti-cancer drug response prediction using multi-task learning on graph convolutional networks

Domain Alignment Method Based on Masked Variational Autoencoder for Predicting Patient Anticancer Drug Response

An extremely fast Python package and project manager, written in Rust.

Python and TypeScript library for integrating the Stripe API into agentic workflows

Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network