Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…

A Python library for amortized Bayesian workflows using generative neural networks.

Ongoing research training transformer models at scale

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

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

The LLM Evaluation Framework

Preheat your MCMC

Text-to-Speech Recipe Users can create speech signals from an input text by using text-to-speech (TTS), also referred to as speech synthesis. Popular TTS and Vocoder models, such as Tacotron 2, are…

LlamaIndex is a data framework for your LLM applications

MICCAI 2024 code for the paper: EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing. EchoNet-Synthetic is a synthetic dataset generated by following a protocol to g…

Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 80% less memory

A fast and lightweight framework for creating decentralized agents with ease.

CUDA Templates for Linear Algebra Subroutines

Ultralytics YOLO11 🚀

Understanding Deep Learning - Simon J.D. Prince

An example of multi-agent orchestration with llama-index

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

LLM inference in C/C++

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Introduction to NumPy & SciPy

LLM training in simple, raw C/CUDA

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Library to implement graph neural networks in PyTorch

Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps

Multi-scale Attention Network for Single Image Super-Resolution (CVPRW 2024)

SuperEasy 100% Local RAG with Ollama + Email RAG

Llama from scratch, or How to implement a paper without crying