Analyze ELF binaries like a boss 😼🕵️‍♂️

A high-throughput and memory-efficient inference and serving engine for LLMs

A library for generative social simulation

The world's simplest facial recognition api for Python and the command line

Code repository for Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Python bindings for llama.cpp

Self-hosted AI coding assistant

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

Header-only C++/python library for fast approximate nearest neighbors

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

Home of StarCoder: fine-tuning & inference!

It's React, but in Python

A guidance language for controlling large language models.

Luanti (formerly Minetest) is an open source voxel game-creation platform with easy modding and game creation

Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …

Demo project by Udemy course: "Unreal Engine 5 C++ Multiplayer Shooter"

📋 A list of open LLMs available for commercial use.

Port of OpenAI's Whisper model in C/C++

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

[TPAMI 2023] SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Inference code for Llama models

Robust Speech Recognition via Large-Scale Weak Supervision

A refreshingly simple data-driven game engine built in Rust

ICML 2023: Reduce, Reuse, Recycle: Composing Energy-Based Diffusion Models with MCMC

Automatically generates Rust FFI bindings to C (and some C++) libraries.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Let us control diffusion models!

Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)