cKnowledge.org
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Popular repositories
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ck
ck PublicForked from mlcommons/ck
Development fork of the MLCommons CK2 framework (aka CM)
Python 1
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croissant
croissant PublicForked from mlcommons/croissant
Croissant is a high-level format for machine learning datasets that combines metadata, resource file descriptions, data structure, and default ML semantics into a single file; it works with existin…
Python 1
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retraining-free-pruning
retraining-free-pruning PublicForked from anandhu-eng/retraining-free-pruning
[NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
Python 1
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mlperf-inference-loadgen-copy
mlperf-inference-loadgen-copy PublicClean copy of MLPerf inference loadgen (20240402) without the whole inference repo mlcommons/inference
C++ 1
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cm4mlops
cm4mlops PublicForked from mlcommons/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 a…
Python 1
Repositories
- cm4mlops Public Forked from mlcommons/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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- mlperf-inference-tools-copy Public
Clean copy of MLPerf inference tools (20240402) without the whole inference repo mlcommons/inference
- mlperf-inference-loadgen-copy Public
Clean copy of MLPerf inference loadgen (20240402) without the whole inference repo mlcommons/inference
- cm-mlops-copy Public
Clean copy of the collection of the automation recipes (MLCommons CM scripts) without the whole CM repository
- retraining-free-pruning Public Forked from anandhu-eng/retraining-free-pruning
[NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
- croissant Public Forked from mlcommons/croissant
Croissant is a high-level format for machine learning datasets that combines metadata, resource file descriptions, data structure, and default ML semantics into a single file; it works with existing datasets to make them easier to find, use, and support with tools.
- training Public Forked from mlcommons/training
Reference implementations of MLPerf™ training benchmarks
- inference_results_v3.0 Public Forked from mlcommons/inference_results_v3.0
This repository contains the results and code for the MLPerf™ Inference v3.0 benchmark.
