A high-throughput and memory-efficient inference and serving engine for LLMs

Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)

Fast and memory-efficient exact attention

BigDL: Distributed Deep Learning Library for Apache Spark

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

Python bindings for the ggml

C++ implementation for BLOOM

An object-oriented Video Query Language

Deep Learning for humans

Deep learning powered big data analytics using BigDL on Apache Spark

The friendly PIL fork

An Open Source Machine Learning Framework for Everyone

Modin: Speed up your Pandas workflows by changing a single line of code

Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

Spark“数字人体”AI挑战赛 ——脊柱疾病智能诊断大赛baseline

Extends cloudpickle to dynamically pickle modules from your working directory

Models and examples built with TensorFlow

To make it easy to benchmark AI accelerators

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch…

Tutorials for Analytics Zoo