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/nns
Estimating neural network runtime characteristics
sergey-serebryakov/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.
sergey-serebryakov/mlbox
sergey-serebryakov/mlcube_train_ssd
MLCommons Training SSD MLCube
sergey-serebryakov/MONAI
AI Toolkit for Healthcare Imaging
sergey-serebryakov/zenml
ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.
sergey-serebryakov/bhattacharyya_bound
Estimating Bayes error bounds
sergey-serebryakov/deeplog
PyTorch implements "DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning"
sergey-serebryakov/diffrax
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
sergey-serebryakov/example_cubes
sergey-serebryakov/huggingartists
Lyrics generation with GPT2-based Transformer
sergey-serebryakov/ipmitool
An open-source tool for controlling IPMI-enabled systems
sergey-serebryakov/markdown-callouts
Markdown extension: a classier syntax for admonitions
sergey-serebryakov/mkdocs
Project documentation with Markdown.
sergey-serebryakov/mkdocs-click
An MkDocs extension to generate documentation for Click command line applications
sergey-serebryakov/ml-metadata
For recording and retrieving metadata associated with ML developer and data scientist workflows.
sergey-serebryakov/mlcube_cookiecutter
sergey-serebryakov/mlcube_docker_py
MLCube docker runner with python `docker` library.
sergey-serebryakov/mlcube_examples
MLCube® examples
sergey-serebryakov/MLEP-public
Public repo for DeepLearning.AI MLEP Specialization
sergey-serebryakov/mlflow_projects
sergey-serebryakov/otdd
Optimal Transport Dataset Distance
sergey-serebryakov/Particle-Track-Reconstruction
Using Machine Learning to reconstruct trajectories of particles detected as hits by ATLAS experiment at LHC, Cern.
sergey-serebryakov/python
A Python handler for mkdocstrings.
sergey-serebryakov/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
sergey-serebryakov/Tahoe
Tahoe: Tree Structure-Aware High Performance Inference Engine for Decision Tree Ensemble on GPU
sergey-serebryakov/tensorstore
Library for reading and writing large multi-dimensional arrays.
sergey-serebryakov/training
Reference implementations of training benchmarks
sergey-serebryakov/X-TIME
sergey-serebryakov/xg_soccer
Predicting xG using Bayesian Networks