Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

links to conference publications in graph-based deep learning

A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

Minimal Implementation of a D3PM in pytorch

Training MNIST with CoreML on Device

Standard federated learning implementations in FedLab and FL benchmarks.

A general framework for inference-time scaling and steering of diffusion models with arbitrary rewards.

Lion and Adam optimization comparison

Inference-Time Alignment in Protein Diffusion Models

The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted by IEEE TMC.