13 open-source projects similar to mxrch/penglab, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Penglab alternative.
This project is an AWS pandas integration library and data pipeline framework designed to simplify the movement and transformation of data between local memory and AWS storage and analytics services. It functions as a cloud data lake toolkit and storage file manager, allowing users to read, write, and transform structured data across various cloud environments. The library distinguishes itself as a distributed compute orchestrator capable of managing clusters in environments such as EMR to process datasets that exceed the memory limits of a single machine. It also provides specialized capabil
chip-n-scale-queue-arranger helps you run machine learning models over satellite imagery at scale. It is a collection of AWS CloudFormation templates deployed by kes, lambda functions, and utility scripts for monitoring and managing the project.
A Docker image for serving fastai models, mimicking the API of Tensorflow Serving. It is designed for running batch inference at scale. It is not optimized for performance (but it's not that slow).
Cloudstomp is a python application that is in active development and built to make deployment of high CPU/GPU applications in Amazon EC2 as spot instances for affordable, quick, and easy data analysis.
Fog is a Ruby cloud infrastructure SDK that provides a standardized interface for managing compute, storage, and network resources across multiple cloud providers. It utilizes a multi-cloud abstraction layer to translate generic resource requests into provider-specific API calls, unifying infrastructure control through a consistent set of Ruby objects. The project includes a cloud API mocking framework that simulates provider responses and resource behavior in memory. This allows for the testing of infrastructure integration logic without making actual network requests or incurring provider c
Cloudtopolis is a tool that facilitates the installation and provisioning of Hashtopolis on the Google Cloud Shell platform, quickly and completely unattended (and also, free!). Together with Google Collaboratory, it allows us to break hashes without the need for dedicated hardware from any browser.
Rook automates the creation of AWS p3 instances for use in GPU-based password cracking. AWS p3 instances use the NVIDIA V100 GPUs, which provide the best password cracking H/s per GPU we've found. Rook is a Python wrapper around a Terraform base, automating the creation, mounting of wordlists…
Rails engine providing access to files in cloud storage
Deep learning docker files and docker images for geospatial anaysis. It contains the most popular deep learning frameworks(PyTorch and Tensorflow) with CPU and GPU support (CUDA and cuDNN included). And some other commonly used packages in machine learning and geospatial anaysis.
A script to automate the creation of cloud infrastructure for hash cracking.