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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

confluence-sync

A command line tool for syncing HTML/Markdown to Confluence!

courier

send electronic mail with scala

dot

A collection of settings files I used to configure my development environments.

electron

Build cross platform desktop apps with web technologies

errors

Error handling utilities for node

example-purescript-atom-package

Example of an Atom package implemented in Purescript.

functorch

functorch is a prototype of JAX-like composable function transforms for PyTorch.

haskakafka

Kafka bindings for Haskell

haxr

healthyeater

incubator-datasketches-cpp

Core C++ Sketch Library

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

indextank-engine

Indexing engine for IndexTank

indextank-scala

Async Scala API for Indextank-Engine (using Thrift)

jquery.maskedinput

jQuery Masked Input Plugin

lambdajam-patterns-in-types

Base project for "Patterns in Types" jam, for LambdaJam Australia conference.

laurencer.github.com

markserv

markserv lets you edit markdown documents and view the changes in your web browser, realtime! markserv saves your scroll position in the browser as you edit :)

ml-io

A high performance data access library for machine learning tasks

node-elasticsearch-client

A client written in node for elastic search

parquet-haskell

WIP Parquet parsing libraries for Haskell.

parquet-mr-bug

Demonstration of Parquet-MR's inability to serialize Thrift binary fields.

python-lib-stats

Find usage statistics (imports, function calls, attribute access) for Python code-bases

recipes

Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production- Reference implementations for SOTA research reproducibility, and infrastructure to guarantee correctness, efficiency, and interoperability.

scala-benchmarks

A collection of Scala micro-benchmarks.

scalding

A Scala API for Cascading

snappy-bureaucracy

Haskell, Snap and Kafka Experiment

spark

Mirror of Apache Spark

stasis

Static sites made powerful