Trainable models and NN optimization tools

Pre-trained Deep Learning models and samples (high quality and extremely fast)

Efficient few-shot learning with Sentence Transformers

A latent text-to-image diffusion model

Open standard for machine learning interoperability

LLM.int8() paper: 8-bit CUDA functions for PyTorch

Development of a DL model for synthetic data generation for model optimization using OpenVINO's Post-training Optimization Toolkit.

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Intel® Low Precision Optimization Tool, targeting to provide a unified low precision inference interface cross different deep learning frameworks, and support auto-tune with specified accuracy crit…

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

A very short demo of the detach function in pytorch

PyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors