Graphite make it easy to store and graph metrics.
Graphite is an enterprise-ready monitoring tool that runs equally well on cheap hardware or Cloud infrastructure. Teams use Graphite to track the performance of their websites, applications, business services, and networked servers. It marked the start of a new generation of monitoring tools, making it easier than ever to store, retrieve, share, and visualize time-series data.
OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots for various applications. The kit includes an instruction-tuned 20 billion parameter language model, a 6 billion parameter moderation model, and an extensible retrieval system for including up-to-date responses from custom repositories. It was trained on the OIG-43M training dataset, which was a collaboration between Together, LAION, and Ontocord.ai. Much more than a model release, this is the beginning of an open source project. We are releasing a set of tools and processes for ongoing improvement with community contributions.
Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification.
Official API for https://www.kaggle.com, accessible using a command line tool implemented in Python 3.
Gearman provides a generic application framework to farm out work to other machines or processes that are better suited to do the work. It allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events. In other words, it is the nervous system for how distributed processing communicates.
A high-performance, zero-overhead, extensible Python compiler using LLVM.
Codon is a high-performance Python compiler that compiles Python code to native machine code without any runtime overhead. Typical speedups over Python are on the order of 10-100x or more, on a single thread. Codon's performance is typically on par with (and sometimes better than) that of C/C++. Unlike Python, Codon supports native multithreading, which can lead to speedups many times higher still. Codon grew out of the Seq project.
Python for Windows (pywin32) Extensions. Provides access to many of the Windows APIs from Python.
Scapy is a powerful interactive packet manipulation libary written in Python. Scapy is able to forge or decode packets of a wide number of protocols, send them on the wire, capture them, match requests and replies, and much more.
The successor to nose, based on unittest2. nose2's extends unittest to make testing nicer.
Hitchhiker est un prototype de générateur de planets statiques.
Un planet est un site Web qui agrège les publications de plusieurs sites, généralement sur un sujet précis.
Pour cela, il utilise les flux Web (RSS, Atom) mis à disposition par les sites concernés.
Hitchhiker se veut le plus minimal possible (30 lignes de code) afin de servir comme démonstration.
Machinae is a tool for collecting intelligence from public sites/feeds about various security-related pieces of data: IP addresses, domain names, URLs, email addresses, file hashes and SSL fingerprints. It was inspired by Automater, another excellent tool for collecting information. The Machinae project was born from wishing to improve Automater in 4 areas:
fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches. It aims to do both things without substantial compromises in ease of use, flexibility, or performance. This is possible thanks to a carefully layered architecture, which expresses common underlying patterns of many deep learning and data processing techniques in terms of decoupled abstractions. These abstractions can be expressed concisely and clearly by leveraging the dynamism of the underlying Python language and the flexibility of the PyTorch library. fastai includes:
Connect people and software together in a way that makes sense to everyone.