Official code of "EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model"

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

Animation engine for explanatory math videos

An open source implementation of CLIP.

This is an implementation of the paper: Searching for Best Practices in Retrieval-Augmented Generation

[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation

[NeurIPS 2024] Official code for PuLID: Pure and Lightning ID Customization via Contrastive Alignment

A modular voice assistant application for experimenting with state-of-the-art transcription, response generation, and text-to-speech models. Supports OpenAI, Groq, Elevanlabs, CartesiaAI, and Deepg…

LLM101n: Let's build a Storyteller

ComfyUI nodes to use segment-anything-2

1-Click is all you need.

A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Stable Diffusion and Flux in pure C/C++

On Device Stable Diffusion In Mobile Devices

Fast ML inference & training for Rust with ONNX Runtime

A reference application for a local AI assistant with LLM and RAG

Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

Bring portraits to life!

Code for "Zero To Production In Rust", a book on API development using Rust.

Code for "Zero To Production In Rust", a book on API development using Rust.

Flutter/Dart <-> Rust binding generator, feature-rich, but seamless and simple.

Export Segment Anything Models to ONNX

Official inference repo for FLUX.1 models

A library for detecting browser and platform type and version.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.