Arjun Suresh's repositories
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.
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:
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/$
cm4abtf
CM interface and automation recipes for ABTF
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)
DALI_deps
3rd party dependencies for DALI project
inference_policies
Issues related to MLPerf™ Inference policies, including rules and suggested changes
inference_results_v3.1
This repository contains the results and code for the MLPerf™ Inference v3.1 benchmark.
mlcommons-inference
Fork of MLCommons inference repository to test TVM integration
mlperf_inference_submissions_v3.0-1
MLPerf inference submissions v3.0 playground
policies
General policies for MLPerf™ including submission rules, coding standards, etc.
software-kit-for-qualcomm-cloud-ai-100
Software kit for Qualcomm Cloud AI 100
software-kit-for-qualcomm-cloud-ai-100-cc
Software kit for Qualcomm Cloud AI 100 cc