itayhubara

reference

Reference implementations of MLPerf benchmarks

training_policies

Issues related to MLPerf™ training policies, including rules and suggested changes

logging

MLPerf™ logging library

itayhubara.github.io

Personal website

inference_policies

Issues related to MLPerf™ Inference policies, including rules and suggested changes

BinaryNet.pytorch

Binarized Neural Network (BNN) for pytorch

qlora

QLoRA: Efficient Finetuning of Quantized LLMs

oss-arch-gym

Open source version of ArchGym project.

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

training_results_v2.0

MLPerf™ Training v2.0 results

EVAR-ED

EVAR patients Early Discharge

huggingface-transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

Gaudi-tutorials

The source files for the tutorials on https://developer.habana.ai/

asciidoctor-pdf

:page_with_curl: Asciidoctor PDF: A native PDF converter for AsciiDoc based on Asciidoctor and Prawn, written entirely in Ruby.

policies

General policies for MLPerf™ including submission rules, coding standards, etc.

asciidoctor

:gem: A fast, open source text processor and publishing toolchain, written in Ruby, for converting AsciiDoc content to HTML 5, DocBook 5, and other formats.

AcceleratedSparseNeuralTraining

Code to reprudece NeurIPS paper: Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks

BinaryNet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

jekyll-readme-index

A Jekyll plugin to render a project's README as the site's index.

training_results_v1.0

TNRD-pytorch

Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration - unofficial pytorch implementation

CalibTIP

Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

training_results_v0.7

MLPerf™ Training v0.7 results

NM-sparsity

Batched-Bandit

fixmatch

A simple method to perform semi-supervised learning with limited data.

convNet.pytorch

ConvNet training using pytorch

inference

Reference implementations of inference benchmarks

MLPerf-SSD-R34.pytorch

SSD on Large images with a backbone of ResNet34 based on MLPerf-training singel-stage-detector repo

pytorch-tiny-imagenet

pytorch-tiny-imagenet