Showing 261-280 of 351 projects
This course teaches beginners about Edge AI, including concepts, models, inference, optimization, and developing intelligent Edge AI agents.
Deploy a lightweight ML inference service with a budget-friendly setup in just a few lines of code.
nGraph is an open-source deep learning compiler framework that optimizes performance for various AI/ML models and runtimes.
Scalable, memory-optimized training of diffusion models for AI-powered applications.
Official codebase for OMG-LLaVA and OMG-Seg, state-of-the-art computer vision models presented at CVPR-24 and NeurIPS-24.
All-in-one training for vision models with pretraining, fine-tuning, and distillation capabilities.
A versatile diffusion model for text, image, and variation generation in a single model.
Zero-shot image restoration using a denoising diffusion model that can remove various types of noise and artifacts.
A Python library that breaks the sequential dependency of LLM inference using lookahead decoding for faster AI model inference.
Offline AI-powered inference engine for art, chatbots, and automated workflows focused on privacy and self-hosting
Best inference performance optimization framework for HuggingFace Diffusers on NVIDIA GPUs.
An extension for Stable Diffusion web UI that performs inpainting using Segment Anything model.
A collection of pre-trained StyleGAN 2 models for AI-powered generative art and image synthesis.
A collection of demo projects for running machine learning models on iOS using CoreML, TensorFlow Lite, and ML Kit.
A comprehensive list of papers on World Models, a technique for general video generation, embodied AI, and autonomous driving.
A powerful math formula OCR tool that supports handwritten, Chinese-mixed formulas and simple symbol reasoning.
A Python library for accelerating inference of video diffusion models using timestep embedding caching.
ELLA: A Python library that equips diffusion models with large language models for enhanced semantic alignment.
Run billion-parameter LLMs on embedded devices with extreme quantization for edge inference
A Python library that aligns the full diffusion trajectory with human preferences for fine-grained control of AI models.
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