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advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

advancedthreading

Advanced Threading

airflow-tutorial

Apache Airflow tutorial

aisc-benchmarks-pytorch

DNN training benchmarks in PyTorch

allreducebenchmark

AllReduce Benchmark

alpine-mpich

MPI Cluster Automation Solution using this Docker image of Alpine Linux with MPICH installed (see IEEE paper)

alpine-mpich-cluster

Cluster setup for distributed MPI project based on alpine-mpich image

angular

angular demo projects

angular-chart

AngularJS directive for adjustable dynamically updating c3 charts

angular-charts

angular directives for creating common charts using d3

angular-drag-and-drop-lists

Angular directives for sorting nested lists using the HTML5 Drag & Drop API

angular-dragdrop

Implementing jQueryUI Drag and Drop functionality in AngularJS (with Animation) is easier than ever

angular-fusioncharts

Angular JS Bindings for FusionCharts

angular-nvd3

An AngularJS directive for NVD3 reusable charting library (based on D3). Easily customize your charts via JSON API.

angular-svg-round-progressbar

AngularJS module that uses SVG to create a circular progressar

angular.treeview

AngularJS based Treeview (no jQuery)

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

arduino

MySensors Arduino Library and examples

arrow

Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

arrow-cookbook

Apache Arrow Cookbook

arrow-java-issues

Evaluating Arrow Issues

arrow-java-playground

arrow-nanoarrow

Helpers for Arrow C Data & Arrow C Stream interfaces

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

aws-demo-flask

GitHub repository for AWS CodeStar Python (Flask) web service demo-flask.

bacterial-proteins

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

benchmarks

ECP-CANDLE Benchmarks

binaryfileprocessor

Binary to CSV