Search Results for "python linux" - Page 42
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Showing 2718 open source projects for "python linux"
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ReinventCommunity
Jupyter Notebook tutorials for REINVENT 3.2
This repository is a collection of useful jupyter notebooks, code snippets and example JSON files illustrating the use of Reinvent 3.2. -
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DockStream
A Docking Wrapper to Enhance De Novo Molecular Design
DockStream is a docking wrapper providing access to a collection of ligand embedders and docking backends. Docking execution and post hoc analysis can be automated via the benchmarking and analysis workflow. The flexilibity to specifiy a large variety of docking configurations allows tailored protocols for diverse end applications. DockStream can also parallelize docking across CPU cores, increasing throughput. DockStream is integrated with the de novo design platform, REINVENT, allowing one... -
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MANOOL
Programming language with expressive power and a simple implementation
MANOOL is a practical, homoiconic, dynamic, multiparadigm general-purpose programming language with a functional core. It has high expressive power but is implemented in less than 10K LOC of optimized, idiomatic C++11 for native run-time environments. MANOOL is meant to compare and compete directly with Python, PHP, Ruby, Perl, and Tcl, although incidentally it has some combination of unusual features. Example: {{extern "manool.org.18/std/0.2/all"} in WriteLine[Out; "Hello,... -
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Differentiable Neural Computer
A TensorFlow implementation of the Differentiable Neural Computer
The Differentiable Neural Computer (DNC), developed by Google DeepMind, is a neural network architecture augmented with dynamic external memory, enabling it to learn algorithms and solve complex reasoning tasks. Published in Nature in 2016 under the paper “Hybrid computing using a neural network with dynamic external memory,” the DNC combines the pattern recognition power of neural networks with a memory module that can be written to and read from in a differentiable way. This allows the... -
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ML workspace
All-in-one web-based IDE specialized for machine learning
All-in-one web-based development environment for machine learning. The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard)... -
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pbxproj
A python module to manipulate XCode projects
This module can read, modify, and write a .pbxproj file from an Xcode 4+ project. The file is usually called project.pbxproj and can be found inside the .xcodeproj bundle. Because some tasks cannot be done by clicking on a UI or opening Xcode to do it for you, this Python module lets you automate the modification process. The typical tasks with an Xcode project are adding files to the project and setting some standard compilation flags. -
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Arraymancer
A fast, ergonomic and portable tensor library in Nim
Arraymancer is a tensor and deep learning library for the Nim programming language, designed for high-performance numerical computations and machine learning applications. -
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summer
Summer is light weight Python 3 application framework
Summer is light weight Python 3 application framework to support generic application development. It provides support for business object management, ORM (mapping, declarative transactions), LDAP and localization. Inspired by famous Java Spring application framework. Since 0.5.2 Python 3 is required. -
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bob-buildsystem
Software build system
bob is a Python3 based software build system roughly comparable with autotools + gmake or CMake + gmake. It is meant to overcome known shortcomings of the two. -
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RegexAssistant
Regex Windows GUI app to help learn, create,& test Regular Expressions
RegexAssistant is a Regex GUI application to help learn, create, and test Regular Expressions. It's an open source stand alone Windows application. RegexAssistant is great for beginners and intermediate-advanced regex users. -It helps beginners to learn regex by providing examples and token cheat-sheet. -Intermediate-advanced users can use RegexAssistant to test complex expressions. -
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Free SLOC
Free SLOC counts physical lines of code (SLOC) for many languages
Free SLOC is a lightweight application for counting physical lines of code (NOT logical lines of code 'LLOC') for many format files, as Java, Python, C, C++, HTML,..., as well as comment lines, blank lines and delimiter lines. Use GUI or console mode (type -h in command line to see options). Use double-click right button in tree to open folder or see source file. Source code in Files tab (Kotlin) -
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Microsoft Bot Framework SDK
Tool for building conversation applications
Bot Framework provides the most comprehensive experience for building conversation applications. With the Bot Framework SDK, developers can build bots that converse free-form or with guided interactions including using simple text or rich cards that contain text, images, and action buttons. Developers can model and build sophisticated conversation using their favorite programming languages including C#, JS, Python and Java or using Bot Framework Composer, an open-source, visual authoring... -
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SageMaker TensorFlow Serving Container
A TensorFlow Serving solution for use in SageMaker
SageMaker TensorFlow Serving Container is an a open source project that builds docker images for running TensorFlow Serving on Amazon SageMaker. Some of the build and tests scripts interact with resources in your AWS account. Be sure to set your default AWS credentials and region using aws configure before using these scripts. Amazon SageMaker uses Docker containers to run all training jobs and inference endpoints. The Docker images are built from the Dockerfiles in docker/. The Dockerfiles... -
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Chatette
A powerful dataset generator for Rasa NLU, inspired by Chatito
Chatette is a Python-based tool for generating training datasets for Natural Language Understanding (NLU) models, particularly those used with Rasa NLU. It employs a domain-specific language to define templates, enabling the creation of diverse and extensive training examples for intent classification and entity recognition. -
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libpostal
A C library for parsing/normalizing street addresses around the world
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data. libpostal is a C library for parsing/normalizing street addresses around the world using statistical NLP and open data. The goal of this project is to understand location-based strings in every language, everywhere. Addresses and the locations they represent are essential for any application dealing with maps (place search, transportation, on-demand/delivery services,... -
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Gooey
Turn Python command line programs into a full GUI application
...Whether you've built your application in Java, Node, or Haskell, or you just want to put a pretty interface on an existing tool like FFMPEG, Gooey can be used to create a fast, practically free UI with just a little bit of Python (about 20 lines!). To show how this all fits together, and that it really works for anything, we're going to walk through building a graphical interface to one of my favorite tools of all time: FFMPEG. These steps apply to anything, though! You could swap out FFMPEG for a .jar you've written, or an arbitrary windows .exe, an OSX .app bundle, or anything on linux that's executable! ... -
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Maggy is a tool for designing an application around a Sqlite or a MySQL database. Oriented towards information databases, its main task is searching information quickly through lists and inverted data. Originally written in php and designed for MySQL, the version 2 is a full rewrite in Python, now oriented to SQLite. MySQL support may be included, but not fully implemented yet. Maggy2 is in beta state and the documentation is missing. But the program is quite fully functional.
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Nerfies
This is the code for Deformable Neural Radiance Fields
Nerfies demonstrates deformation-aware neural radiance fields that reconstruct and render dynamic, real-world scenes from casual video. Instead of assuming a static world, the method learns a canonical space plus a deformation field that maps changing poses or expressions back to that space during training. This lets the system generate photorealistic novel views of nonrigid subjects—faces, bodies, cloth—while preserving fine detail and consistent lighting. The training pipeline handles... -
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Minkowski Engine
Auto-diff neural network library for high-dimensional sparse tensors
The Minkowski Engine is an auto-differentiation library for sparse tensors. It supports all standard neural network layers such as convolution, pooling, unspooling, and broadcasting operations for sparse tensors. The Minkowski Engine supports various functions that can be built on a sparse tensor. We list a few popular network architectures and applications here. To run the examples, please install the package and run the command in the package root directory. Compressing a neural network to... -
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EH Forwarder Bot
An extensible message tunneling chat bot framework
Codename EH Forwarder Bot (EFB) is an extensible message tunneling chat bot framework that delivers messages to and from multiple platforms and remotely controls your accounts. Since the majority of our channels are using polling for message retrieval, a stable internet connection is necessary for channels to run smoothly. An unstable connection may lead to slow response, or loss of messages. EFB uses a *nix user configuration style, which is described in details in Directories. In short, if... -
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Opyrator
Turns your machine learning code into microservices with web API
Instantly turn your Python functions into production-ready microservices. Deploy and access your services via HTTP API or interactive UI. Seamlessly export your services into portable, shareable, and executable files or Docker images. Opyrator builds on open standards - OpenAPI, JSON Schema, and Python type hints - and is powered by FastAPI, Streamlit, and Pydantic. It cuts out all the pain for productizing and sharing your Python code - or anything you can wrap into a single Python... -
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CEF Python
Python bindings for the Chromium Embedded Framework (CEF)
Python bindings for the Chromium Embedded Framework (CEF). CEF Python is an open source project founded by Czarek Tomczak in 2012 to provide Python bindings for the Chromium Embedded Framework (CEF). The Chromium project focuses mainly on Google Chrome application development while CEF focuses on facilitating embedded browser use cases in third-party applications. Lots of applications use CEF control, there are more than 100 million CEF instances installed around the world. There are... -
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django-bootstrap 4
Bootstrap 4 integration with Django
Bootstrap 4 integration for Django. The goal of this project is to seamlessly blend Django and Bootstrap 4. The django-bootstrap4 has some pre-configured settings. They can be modified by adding a dict variable called BOOTSTRAP4 in your settings.py and customizing the values you want. You can customize the output of django-bootstrap4 by writing your own templates. -
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OpenDrop
An open Apple AirDrop implementation written in Python
OpenDrop is a command-line tool that allows sharing files between devices directly over Wi-Fi. Its unique feature is that it is protocol-compatible with Apple AirDrop which allows to share files with Apple devices running iOS and macOS. Currently (and probably also for the foreseeable future), OpenDrop only supports sending to Apple devices that are discoverable by everybody as the default contacts-only mode requires Apple-signed certificates. We support contacts-only devices by using... -
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TransPose
PyTorch Implementation for "TransPose, Keypoint localization
TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on.
