Carl McGraw's Projects
Throughput and latency monitoring for Akka Streams
Benchmarks of approximate nearest neighbor libraries in Python
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Approximate nearest neighbors in Java
A project to allow the client to send events into kafka in an anonymous fashion
A planet scale, highly available, transactional database built on CRDT technology
A collection of source code generators for Java.
React component that allows for a Bandit Algorithm on the front end, in real time
Mirror of Apache Beam
The Swiss Army knife for 802.11, BLE, IPv4 and IPv6 networks reconnaissance and MITM attacks.
BinProxy is a proxy for arbitrary TCP connections. You can define custom message formats using the BinData gem.
Fast cross-platform HTTP benchmarking tool written in Go
A caching library for Python
A high performance caching library for Java 8
A network proxy library written in C# for .NET Core based on CANAPE
:rocket: Modern cross-platform HTTP load-testing tool written in Go
A Lightweight Circuit Breaker for js
Small Google Cloud Platform examples and code snippets.
Docker images for Confluent Platform.
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)
Antidote DB image for Docker Hub https://hub.docker.com/r/antidotedb/antidote
A docker container build that contains ghz load balancing tool: https://github.com/bojand/ghz
Have you ever been running a docker-compose stack and been very interested in the performance of your containers? Me too.
An all-inclusive protoc Docker image for the ML projects
Docker Swarm mode rocks! Ideas, tools and recipes. Get a production-ready, distributed, HTTPS served, cluster in minutes, not weeks.
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke