Open Source Python Software Development Software - Page 67

Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than DALL-E2. It consists of a cascading DDPM conditioned on text embeddings from a large pre-trained T5 model (attention network). It also contains dynamic clipping for improved classifier-free guidance, noise level conditioning, and a memory-efficient unit design. It appears neither CLIP nor prior network is needed after all. And so research continues. For simpler training, you can directly supply text strings instead of precomputing text encodings. (Although for scaling purposes, you will definitely want to precompute the textual embeddings + mask)

Impacket is a collection of Python classes designed for working with network protocols. It was primarily created in the hopes of alleviating some of the hindrances associated with the implementation of networking protocols and stacks, and aims to speed up research and educational activities. It provides low-level programmatic access to packets, and the protocol implementation itself for some of the protocols, like SMB1-3 and MSRPC. It features several protocols, including Ethernet, IP, TCP, UDP, ICMP, IGMP, ARP, NMB and SMB1, SMB2 and SMB3 and more. Impacket's object oriented API makes it easy to work with deep hierarchies of protocols. It can construct packets from scratch, as well as parse them from raw data.

Framework for application development, consisting of a persistant object framework, object notification, central property/attribute management, reporting, automatic display generation etc.

import_from_github_com is a playful yet practical experiment that lets you import Python modules directly from GitHub using an import-like mechanism. The idea is to remove the friction of “clone → install → import” when you just want to try out a single file or small repo. It hooks into Python’s import machinery so that when you reference a GitHub path, it fetches the code, stores it locally (often with caching), and makes it importable in the current environment. This is helpful for prototyping, teaching, or quickly exploring other people’s utilities without polluting your global site-packages. It also demonstrates how flexible Python’s import system is and can be used as a reference for custom importers. While not a substitute for proper packaging, it’s a clever shortcut for rapid experimentation.

InPUT offers a descriptive and programming language independent format and IoC (Inversion of Control) container for the configuration and design of computer experiments. Code and more info can be found on github: http://github.com/feldob/InPUT

IncludeGraph is a tool written in Python that performs code analysis on a C and C++ source tree. It can determine the inclusion path for a header file as well as provide charts about which headers are the most included ones or which files include the most headers. It also has a limited knowledge of conditional preprocessor constructs by implementing a subset of the functionality of the C preprocessor.

A powerfull, generic and extensible data modeling tool. Features: diagram oriented, schema generation and reverse engineer to any relational DB, import and export to many formats, export diagram to picture or vectorial format, printing, documetation, etc

The effortless open-source tool for event organization, archival, and collaboration. Event-organization workflow that fits lectures, meetings, workshops, and conferences. A feature-rich event management system, made @ CERN, the place where the Web was born. A powerful and flexible hierarchical content management system for events, a full-blown conference organization workflow with call for Abstracts and abstract reviewing modules; flexible registration form creation and configuration; integration with existing payment systems; a paper reviewing workflow; a drag and drop timetable management interface; a simple badge editor with the possibility to print badges and tickets for participants; tools for meeting management and archival of presentation materials; a powerful room booking interface; integration with existing video conferencing solutions.

Infinite Monkeys is a code generator employing random generation and mutation of code to solve programming problems.

InfoDock is an integrated productivity toolset, mainly aimed at technical people. It is built atop XEmacs and so has all of the power of Emacs, but with an extended menu-based user interface. Most objections to Emacs use are solved by use of InfoDock.

Inline Python (PyInline) allows you to put source code from other programming languages directly "inline" in a Python script or module. The code is automatically compiled as needed, and then loaded for immediate access from Python. PyInline is the Pyth

Innoconda is a way to automate Inno Setup with Python. It provides a simple Python API for making Inno Scripts and running the Inno Compiler, ISCC.exe, to turn them into packages. Innoconda lets you customize just what's important, and build an installer.

Instagram: the app you open to send one message… and suddenly 30 minutes are gone. We all know the cycle — and we finally had enough. What if Instagram had a quick fix? A productivity-friendly mode that keeps your connections, but gives your attention span a fighting chance? No algorithm traps. No reel vortex. No dopamine casino. Just conversations and updates, on your terms. Instagram CLI is a minimal, fast, keyboard-native way to stay connected without getting cooked by social media.

Instigate GUI Toolkit is an Abstraction for multiple GUI Toolkits allowing to write single GUI code which can run on multiple platforms and with multiple GUI back-ends. Now it supports QT and gtkmm back-ends on Linux. Work on GTK+ and EWL is ongoing.

A web development framework; includes an application server which provides a persistent object cache and transaction support, an intelligent HTML parser, multi-threaded scripting, multiple scripting language support within a single OO framework.

neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu backend is selected by default, so the above command is equivalent to if a compatible GPU resource is found on the system. The Intel Math Kernel Library takes advantages of the parallelization and vectorization capabilities of Intel Xeon and Xeon Phi systems. When hyperthreading is enabled on the system, we recommend the following KMP_AFFINITY setting to make sure parallel threads are 1:1 mapped to the available physical cores.

WHEREAMI is an intelligent and self-learning network detection and configuration utility. With this capability, a user can just walk to a network range and WHEREAMI will self determine and connect to that network with relevant policies.

Educational game framework supporting board games, strategy games, and other grid-based game boards. Currently uses Python/wxPython as the application language/library. C++ libs included to help create AI for the various games.

Inter Process Messenger (IPM) is an interprocess communication and remote procedure call system which shares a number of characteristics with existing IPC systems such as Corba and XML-RPC. IPM is fully sockets based, supporting internet and unix socket

InterPython (stands Python InterOperability) is a .NET library that allows a python interpreter to be "embedded" in your .NET programs, and gives you (almost) transparent access to python libraries and services in .NET programs. Great for GUIs, etc.

IbPy is a port of the API provided by Interactive Brokers (http://www.interactivebrokers.com/) to the Python language.

IDC is an interactive decompiler, where the user starts with an almost literal translation of Assembly code in C language, which he progressively decompiles by the successive application of low-level refactorings, ultimately leading to high-level C code.

Moved to https://codeberg.org/andybalaam/igcc

Language-independent interfaces like DOM, SAX and XSLT are not particularly "Pythonic". Several tools are contained in this "XML2Python Interfaces" project that provide more natural ways of translating between XML and Python objects.

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard. Interpret-Text builds on Interpret, an open source python package for training interpretable models and helping to explain blackbox machine learning systems. We have added extensions to support text models. Interpret-Text incorporates community-developed interpretability techniques for NLP models and a visualization dashboard to view the results. Users can run their experiments across multiple state-of-the-art explainers and easily perform comparative analysis on them. Using these tools, users will be able to explain their machine-learning models globally on each label or locally for each document.