Popular GitHub Repositories for Intel

??An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ??Cloud ?Mobile and ?Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.

? Accelerate inference and training of ? Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

Large-scale LLM inference engine

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT & Tencent's NCNN inference, beautifully crafted and packaged into a single app

This repository is a home to Intel? Deep Learning Streamer (Intel? DL Streamer) Pipeline Framework. Pipeline Framework is a streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics pipelines.

? Optimum Intel: Accelerate inference with Intel optimization tools

FluidFrames.RIFE | video AI frame-generation app

NiceScaler - image/video deeplearning upscaler (OpenCV)

Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learning.

Tensorflow based Fast Pose estimation. OpenVINO, Tensorflow Lite, NCS, NCS2 + Python.

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

GUI-based Super-Resolution Convolutional Neural Network（SRCNN）Utility.

Use computer vision inference in the Intel? Distribution of OpenVINO? toolkit to provide analytics on customer engagement, store traffic, and shelf inventory.

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

Observe workers as they pass in front of a camera to determine if they have adequate safety protection.

Machine Learning Cognitive Service capable of forecasting the crypto markets! Utilizing Microsoft Machine Learning & Intel MKL.

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

Detect faces and determine whether people are wearing mask.