Arjun Suresh (arjunsuresh)

arjunsuresh

Geek Repo

Company:@gateoverflow

Location:United Kingdom

Home Page:https://www.linkedin.com/in/arjunsuresh/

Twitter:@arjunsuresh1987

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Arjun Suresh's repositories

aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

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ck

CK framework helps to share artifacts, knowledge and experience in a more reusable, automated, portable, reproducible and unified way. It transforms Git repositories, Docker containers, Jupyter notebooks and zip/tar files into an open database of reusable artifacts and automations with a unified API and extensible meta descriptions.

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ck-math

Collective Knowledge packages for various mathematical libs to be plugged into portable and customizable CK research workflows:

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ck-mlops

A collection of portable workflows, automation recipes and components for MLOps in a unified CK format with a common CLI, Python API, extensible meta descriptions and web services. See real-world use cases to automate ML/SW/HW co-design and make it easier to deploy efficient ML Systems across diverse platforms:

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ck-qaic

Qualcomm Cloud AI (QAIC) implementation of MLPerf Inference benchmarks

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ck_mlperf_results

Aggregated benchmarking results from MLPerf Inference, Tiny and Training in the MLCommons CM format for the Collective Knowledge Playground. Our goal is to make it easier for the community to visualize, compare and reproduce MLPerf results and add derived metrics such as Performance/Watt or Performance/$

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cm4abtf

CM interface and automation recipes for ABTF

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cm4mlops

A collection of reusable and cross-platform automation recipes (CM scripts) with a human-friendly interface and minimal dependencies to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data sets, software and hardware (cloud/edge)

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cocoapi

COCO API - Dataset @ http://cocodataset.org/

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DALI_deps

3rd party dependencies for DALI project

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inference

Reference implementations of MLPerf™ inference benchmarks

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inference_policies

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

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inference_results_v3.1

This repository contains the results and code for the MLPerf™ Inference v3.1 benchmark.

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mlcommons-inference

Fork of MLCommons inference repository to test TVM integration

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mlperf_inference_submissions_v3.0-1

MLPerf inference submissions v3.0 playground

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onnx-mlir

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

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policies

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

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power-dev

Dev repo for power measurement for the MLPerf™ benchmarks

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q2a-book

Allows book export for Question2Answer

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software-kit-for-qualcomm-cloud-ai-100

Software kit for Qualcomm Cloud AI 100

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software-kit-for-qualcomm-cloud-ai-100-cc

Software kit for Qualcomm Cloud AI 100 cc

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tpu

Reference models and tools for Cloud TPUs.

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training

Reference implementations of MLPerf™ training benchmarks

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