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aij-demo

Save time and money: ML on Intel CPU for XGBoost and scikit-learn demo on AIJ 2021

claymore

claymore web scan via shodan

daal

Intel® Data Analytics Acceleration Library (Intel® DAAL)

daal4py

sources for daal4py - a convenient Python API to DAAL

daal4py-feedstock

A conda-smithy repository for daal4py.

daal4py-test-pypi

docker-python

Kaggle Python docker image

dpctl

A library exposing a lightweight C-API for SYCL to use in Python applications including Numba.

gtest-demo

Unit test demo using Google Test.

intel-compiler-repack-feedstock

A conda-smithy repository for intel-compiler-repack.

intel_repack-feedstock

A conda-smithy repository for intel_repack.

intel_repack-feedstock-anaconda

Repackaging of Intel's MKL packages for usage in Anaconda

models

Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors

omniscidb

OmniSciDB (formerly MapD Core)

oneapi-spec

oneAPI Specification source files

pycaret

An open-source, low-code machine learning library in Python

reduced-precision-for-dba

Analysis of reduced precision data formats applicability for distance-based ML algorithms (K-Means, k-NN, DBSCAN)

scalablevectorsearch

scikit-learn

scikit-learn: machine learning in Python

scikit-learn-feedstock

A conda-smithy repository for scikit-learn.

scikit-learn-intelex-feedstock

A conda-smithy repository for scikit-learn-intelex.

scikit-learn_bench

scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.

skops

skops is a Python library helping you share your scikit-learn based models and put them in production

spack

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow