The vLLM XPU kernels for Intel GPU

oneAPI Deep Neural Network Library (oneDNN)

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

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

Ongoing research training transformer language models at scale, including: BERT & GPT-2

Reference implementations of MLPerf™ inference benchmarks

Intel® Extension for DeepSpeed* is an extension that brings Intel GPU (XPU) support to DeepSpeed.

Reference implementations of MLPerf™ training benchmarks

Padavan 自动编译

Padavan

jQuery plugin to export a html table to JSON, XML, CSV, TSV, TXT, SQL, Word, Excel, PNG and PDF

A fast parallel implementation of RNN Transducer.

DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

B站Efficient-Neural-Network学习分享的配套代码

机器学习相关教程

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

Code for: "And the bit goes down: Revisiting the quantization of neural networks"

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

Simple Reinforcement learning tutorials

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset