Search Results for "python software foundation license" - Page 69
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Showing 5053 open source projects for "python software foundation license"
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stage0
A set of minimal dependency bootstrap binaries
This is a set of manually created hex programs in a Cthulhu Path to madness fashion. Which only have the goal of creating a bootstrapping path to a C compiler capable of compiling GCC, with only the explicit requirement of a single 1 KByte binary or less. Additionally, all code must be able to be understood by 70% of the population of programmers. If the code can not be understood by that volume, it needs to be altered until it satisfies the above requirement. -
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CrypTen
A framework for Privacy Preserving Machine Learning
CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic... -
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Baselines
High-quality implementations of reinforcement learning algorithms
Unlike the other two, openai/baselines is not currently a maintained or prominent repo in the OpenAI organization (and I found no strong reference in OpenAI’s main GitHub). Historically, “baselines” repositories are often used for baseline implementations of reinforcement learning algorithms or reference models (e.g. in the RL domain). If there was an OpenAI “baselines” repo, it might have contained reference implementations for reinforcement learning or model policy baselines to compare new... -
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HDL Checker
Repurposing existing HDL tools to help writing better code
HDL Checker is a language server that wraps VHDL/Verilg/SystemVerilog tools that aims to reduce the boilerplate code needed to set things up. It supports Language Server Protocol or a custom HTTP interface; can infer the library VHDL files likely to belong to, besides working out mixed language dependencies, compilation order, interpreting some compiler messages and providing some (limited) static checks. Notice that currently, the unused reports has caveats, namely declarations with the... -
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Graph Nets library
Build Graph Nets in Tensorflow
Graph Nets, developed by Google DeepMind, is a Python library designed for constructing and training graph neural networks (GNNs) using TensorFlow and Sonnet. It provides a high-level, flexible framework for building neural architectures that operate directly on graph-structured data. A graph network takes graphs as inputs, consisting of edges, nodes, and global attributes, and produces updated graphs with modified feature representations at each level. This library implements the... -
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This system is designed to synchronize objects over network using a 1 server : n clients topology. In contrast to Object Replication system used in Zoidcom or RakNet this solution is developed to be very scalable using multiple threads/cpus=> MMO ready.
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Backuso
Backup software for your data to local and remote SSH systems
Backuso – pronounce like the opera singer ‘Caruso’ – is a software for routine and automated backups of your computer to either a local storage or a remote storage on an SSH server, or both. A local storage is anything accessible in the directory structure of your computer. Most of the time this will be a (large) hard drive, mounted at a convenient location. A remote storage is anything which is accessed on your network via the ssh protocol. This could be a NAS (Network Attached... -
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PBTK Optimizer
Application for optimization of parameters in PBTK models
Physiologically based toxicokinetic (PBTK) modeling offers great promise in environmental risk assessment, potentially speeding up dose-response studies while minimizing animal testing. Some limitations exist in the PBTK field, such as difficulty of model development and a lack of application specific software tools to help modelers. Some parameters used in PBTK models, such as tissue weights, are easily measure. Other parameters can be determined through in-vitro experiments or through... -
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Orator
The Orator ORM provides a simple yet beautiful ActiveRecord implement.
The Orator ORM provides a simple yet beautiful ActiveRecord implementation. The Orator ORM is based on conventions to avoid the hassle of defining every single aspect of your models. It is inspired by the database part of the Laravel framework, but largely modified to be more pythonic. All you need to get you started is the configuration describing your database connections and passing it to a DatabaseManager instance. If you have multiple databases configured you can specify which one is... -
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wtfpython
Exploring and understanding Python through surprising snippets
Python, being a beautifully designed high-level and interpreter-based programming language, provides us with many features for the programmer's comfort. But sometimes, the outcomes of a Python snippet may not seem obvious at first sight. Here's a fun project attempting to explain what exactly is happening under the hood for some counter-intuitive snippets and lesser-known features in Python. While some of the examples you see below may not be WTFs in the truest sense, but they'll reveal some... -
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C++QED
A framework for simulating open quantum dynamics
C++QED is an application-programming framework for simulating open quantum dynamics in general. It has demonstrated the ability to simulate full Master equation of up to several thousand, and quantum trajectories of up to several hundred thousand dimensions. The basic idea is to allow users to build arbitrarily complex interacting quantum systems out of free subsystems and interactions (elements), and simulate their time evolution with a number of available time-evolution... -
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Python Patterns
A collection of design patterns/idioms in Python
Python-Patterns is a repository collecting implementations of many classical design patterns and idioms, written in Python. It serves as an educational resource: showing how to implement creational, structural, behavioral, testability, and other patterns in a Pythonic style (or sometimes less so), illustrating trade-offs, different styles, and use cases. It’s intended for learners or developers interested in software architecture or design, rather than as a production library. Includes... -
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Open Drug Discovery Toolkit (ODDT)
Modular and comprehensive toolkit for use in cheminformatics
Open Drug Discovery Toolkit (ODDT) is modular and comprehensive toolkit for use in cheminformatics, molecular modeling etc. ODDT is written in Python, and makes extensive use of Numpy/Scipy. You can use any supported toolkit united under common API (for reference see Pybel or Cinfony). All methods and software based on Pybel/Cinfony should be drop-in compatible with ODDT toolkits. In contrast to its predecessors, which were aimed to have minimalistic API, ODDT introduces extended methods and... -
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PixieDust
Python Helper library for Jupyter Notebooks
PixieDust is an open source Python helper library that works as an add-on to Jupyter notebooks to improve the user experience of working with data. It also fills a gap for users who have no access to configuration files when a notebook is hosted on the cloud. -
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Miasm
Reverse engineering framework in Python
The Miasm intermediate representation is used for multiple task: emulation through its jitter engine, symbolic execution, DSE, program analysis, but the intermediate representation can be a bit hard to read. We will present in this article new tricks Miasm has learned in 2018. Among them, the SSA/Out-of-SSA transformation, expression propagation and high-level operators can be joined to “lift” Miasm IR to a more human-readable language. We use graphviz to illustrate some graphs. Its layout... -
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Python DB-API 2.0 module for ADO
Use Microsoft ADO to read/write most data bases.
Python module that makes it easy to use Microsoft ADO for connecting with databases and other data sources. For CPython users, this module is included as part of pywin32 (https://github.com/mhammond/pywin32), and continued support will take place there. This fork will be maintained for Iron Python users. * Documentation at http://adodbapi.sourceforge.net/quick_reference.pdf or quick_reference.odb in the .zip -
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Ouroboros
Automatically update running docker containers
Ouroboros will monitor (all or specified) running docker containers and update them to the (latest or tagged) available image in the remote registry. The updated container uses the same tag and parameters that were used when the container was first created such as volume/bind mounts, docker network connections, environment variables, restart policies, entrypoints, commands, etc. Push your image to your registry and simply wait your defined interval for ouroboros to find the new image and... -
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Legit
Git for Humans, Inspired by GitHub for Mac™
Legit is a complementary command-line interface for Git, optimized for workflow simplicity. It is heavily inspired by GitHub for Mac. We haven't re-created the git CLI tool in a GUI, we've created something different. We've created a tool that makes Git more accessible. Little things like auto-stashing when you switch branches will confuse git veterans, but it will make Git much easier to grok for newcomers because of the assumptions it makes about your Git workflow. Switches to specified... -
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Flask-GraphQL
Adds GraphQL support to your Flask application
Adds GraphQL support to your Flask application. This will add /graphql endpoint to your app and enable the GraphiQL IDE. If you are using the Schema type of Graphene library, be sure to use the graphql_schema attribute to pass as schema on the GraphQLView view. Otherwise, the GraphQLSchema from graphql-core is the way to go. The GraphQLSchema object that you want the view to execute when it gets a valid request. A value to pass as the context_value to graphql execute function. By default is... -
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Dragonfire
The open-source virtual assistant for Ubuntu based Linux distributions
Dragonfire is the open-source virtual assistant project for Ubuntu-based Linux distributions. Her main objective is to serve as a command and control interface to the helmet user. So that you will be able to give orders just by using your voice commands and your eye movements. That makes the helmet handsfree. We are planning to ship Dragonfire as a preinstalled software package on DragonOS Linux Distribution. DragonOS will be a Linux distribution specially designed for the helmet. It will... -
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jpathpy
Select items from JSON by using JPath syntax
Package ``jpathpy`` is easy way for selecting items from objects, that can be iterate by keys or indices (such as dictionaries or lists). See full doc at <https://github.com/vowatchka/jpathpy>. -
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The GUIDOLib provides a powerful engine for the graphic rendering of music scores, based on the Guido Music Notation format. It supports Linux, Mac OS X, Windows, Android and iOS operating systems. A Java JNI interface is available as well as a Javascript version of the library. A Web API has also been designed, allowing to deploy the engine as a Web service.
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RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like. -
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v2rayL
v2ray linux GUI
V2Ray is a tool under Project V. Project V includes a series of tools to help you create your own customized network system. And V2Ray belongs to the core one. Simply put, V2Ray is a proxy software similar to Shadowsocks, but has more advantages than Shadowsocks.v2ray linux client, using pyqt5 to write GUI interface, the core is based on v2ray-core (v2ray-linux-64) vmess supports websocket, mKcp, and tcp. There may be some bugs in the current program, but they have not been tested. If you... -
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Deep Learning Drizzle
Drench yourself in Deep Learning, Reinforcement Learning
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures! Optimization courses which form the foundation for ML, DL, RL. Computer Vision courses which are DL & ML heavy. Speech recognition courses which are DL heavy. Structured Courses on Geometric, Graph Neural Networks. Section on Autonomous Vehicles. Section on Computer Graphics with ML/DL focus.