Pinned Repositories
dlcookbook-dlbs
Deep Learning Benchmarking Suite
cmf
CMF library helps to collect and store information associated with ML pipelines. It tracks the lineages for artifacts and executions of distributed AI pipelines. It provides API's to record and query the metadata associated with ML pipelines. The framework adopts a data first approach and all artifacts recorded in the framework are versioned and identified by the content hash.
DeepLearningExamples
Deep Learning Examples
eigen-blis
Eigen linear algebra library with BLIS (BLAS) on CPUs
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
kenlm
KenLM: Faster and Smaller Language Model Queries
mlbox
mlperf-training-v0.6
Fork of MLPerf-Training-v0.6
nns
Estimating neural network runtime characteristics
tensorflow-internals
It is open source ebook about TensorFlow kernel and implementation mechanism.
sergey-serebryakov's Repositories
sergey-serebryakov/tensorflow-internals
It is open source ebook about TensorFlow kernel and implementation mechanism.
sergey-serebryakov/eigen-blis
Eigen linear algebra library with BLIS (BLAS) on CPUs
sergey-serebryakov/DeepLearningExamples
Deep Learning Examples
sergey-serebryakov/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
sergey-serebryakov/kenlm
KenLM: Faster and Smaller Language Model Queries
sergey-serebryakov/mlperf-training-v0.6
Fork of MLPerf-Training-v0.6
sergey-serebryakov/AdaptiveNeuralTrees
Adaptive Neural Trees
sergey-serebryakov/caffe
This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors (HSW+) and Intel® Xeon Phi processors
sergey-serebryakov/caffe-1
Caffe: a fast open framework for deep learning.
sergey-serebryakov/collectl
Extending collectl to send process data to graphite
sergey-serebryakov/community
Unofficial community efforts
sergey-serebryakov/convnet-benchmarks
Easy benchmarking of all publicly accessible implementations of convnets
sergey-serebryakov/dlbs-recipes
A collection of benchmark recipes for HPE Benchmarking Suite
sergey-serebryakov/dldt
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
sergey-serebryakov/docsify
🃏 A magical documentation site generator.
sergey-serebryakov/g.raphael
Charts for Raphaël
sergey-serebryakov/jQuery-contextMenu
contextMenu manager
sergey-serebryakov/JSON-java
A reference implementation of a JSON package in Java.
sergey-serebryakov/kaldi
This is now the official location of the Kaldi project.
sergey-serebryakov/mnist-mlcommons-box
Example of the MNIST MLCommons-Box GPU/CPU model training
sergey-serebryakov/mpipe
Python API for writing multiprocessing pipelines
sergey-serebryakov/notes
Different notes on various topics
sergey-serebryakov/parquet-cpp
Mirror of Apache Parquet
sergey-serebryakov/tensor_train_RNN
Clean repo for tensor-train RNN implemented in TensorFlow
sergey-serebryakov/training_results_v0.7