Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities

A lightning-fast workflow builder, it supports multimodal interaction, highly customizable extensions, and is intuitive to use even without any coding knowledge.

Personal notes for SAA-C02 test from: https://learn.cantrill.io

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

AWS SAP-C02 Study Guide

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Official inference framework for 1-bit LLMs

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

https://mlabonne.github.io/blog/

Hands-on workshop for distributed training and hosting on SageMaker

Composable building blocks to build Llama Apps

Amplify UI is a collection of accessible, themeable, performant React (and more!) components that can connect directly to the cloud.

A terminal based program that lets you interact with LLMs available on Amazon Bedrock

Go ahead and axolotl questions

Official repository for the paper "LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code"

A PyTorch native library for large model training

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory

Official repository for ORPO

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all availble foundational models

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.