Showing 61-80 of 351 projects
High-performance ML inferencing and training accelerator
Stable Diffusion model for generating images on Apple Silicon devices using Core ML.
Diffusion Bee is an easy-to-use app for running Stable Diffusion AI models locally on M1 Macs.
High-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
NVIDIA TensorRT is an SDK for high-performance deep learning inference on NVIDIA GPUs.
A web UI for the Stable Diffusion AI text-to-image generation model, enabling developers to create and customize AI-powered image generation.
An optimized cloud and edge inference solution for deploying and running machine learning models.
High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model
OpenVINO is an open-source toolkit for optimizing and deploying AI inference on a variety of hardware.
Unified, production-ready inference API to run open-source, speech, and multimodal models on cloud, on-prem, or your laptop.
Easily fine-tune, evaluate and deploy open-source large language models like GPT-OSS and Llama.
A guide to deploying deep-learning inference networks and computer vision primitives with NVIDIA Jetson hardware and TensorRT.
An extensible toolkit for finetuning and inference of large language models, enabling 'large models for all'.
The repository provides code and tools for running inference and fine-tuning with the Meta Segment Anything Model 3 (SAM 3).
An AI-powered image generation tool that can create high-quality images from text prompts.
This is an implementation of the Dreambooth technique for fine-tuning Stable Diffusion models.
AlphaFold 3 is a Python-based inference pipeline for protein structure prediction using deep learning.
LMDeploy is a toolkit for compressing, deploying, and serving large language models (LLMs).
A library for fine-tuning diffusion models like Stable Diffusion using Low-Rank Adaptation (LoRA) for quick and efficient model personalization.
StarCoder is a Python library for fine-tuning and inference of large language models.
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