yejing-lai Goto Github PK
Type: User
Company: intel
Location: Shanghai
Type: User
Company: intel
Location: Shanghai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups
B站Efficient-Neural-Network学习分享的配套代码
Reference implementations of MLPerf™ inference benchmarks
Intel® Extension for DeepSpeed* is an extension that brings Intel GPU (XPU) support to DeepSpeed.
This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.
Code for: "And the bit goes down: Revisiting the quantization of neural networks"
机器学习课程作业
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Padavan 自动编译
Prune DNN using Alternating Direction Method of Multipliers (ADMM)
This is the PyTorch implementation of VGG network trained on CIFAR10 dataset
Simple Reinforcement learning tutorials
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
Padavan
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
jQuery plugin to export a html table to JSON, XML, CSV, TSV, TXT, SQL, Word, Excel, PNG and PDF
Reference implementations of MLPerf™ training benchmarks
机器学习相关教程
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