ftian1

intelcaffe_weight_to_bvlc

This is used to convert intelcaffe weight file to be compatible with bvlc caffe

lpot

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 criterion to find out best quantized model.

caffe

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

CaffeDeepSpeech2

The caffe implementation of DeepSpeech2

chroma

the AI-native open-source embedding database

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepSpeedExamples

Example models using DeepSpeed

dlrm

An implementation of a deep learning recommendation model (DLRM)

Erlang_web_game

multiplayer space ship using p5 as front end and cowboy as back end

optimum-intel

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ollama

Get up and running with Llama 2, Mistral, Gemma, and other large language models.

RAG_benchmark

rnnt-speech-recognition

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

tools

tutorials

PyTorch tutorials.