Search Results for "python code generator" - Page 48
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Showing 3036 open source projects for "python code generator"
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Win flex-bison
Win flex-bison is a port Flex & Bison tools to the Windows platform
Win flex-bison is a windows port the Flex (the fast lexical analyser) and Bison (GNU parser generator). win_flex based on Flex version 2.6.3 source code and win_bison based on Bison version 2.7 and they depend on system libraries only. Git repository: https://github.com/lexxmark/winflexbison UPDATE1: Bison version 3.x.x available in Files section in win_flex_bison3-latest.zip package. UPDATE2: Now "winflexbison" available as package in Chocolatey (https://chocolatey.org/packages... -
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Stable Baselines
A fork of OpenAI Baselines, implementations of reinforcement learning
Stable Baselines is a set of improved implementations of reinforcement learning algorithms based on OpenAI Baselines. You can read a detailed presentation of Stable Baselines in the Medium article. These algorithms will make it easier for the research community and industry to replicate, refine, and identify new ideas, and will create good baselines to build projects on top of. We expect these tools will be used as a base around which new ideas can be added, and as a tool for comparing a new... -
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An advanced password generator written in C++ and designed to run within the terminal emulator of any *NIX compatible system. It is based on the work by Nintendo(r) European Reasearch and Development (NERD) and the "HireMe" challenge. I've taken the work of NERD a step further and used the input-confusion-diffusion paradigm in conjunction with SHA/256 encryption to generate randomized passwords that cannot be decoded (yet - quantum computers will change this eventually!) The software generates...
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Optimus
Agile Data Preparation Workflows made easy with Pandas
Easily write code to clean, transform, explore and visualize data using Python. Process using a simple API, making it easy to use for newcomers. More than 100 functions to handle strings, process dates, urls and emails. Easily plot data from any size. Out-of-box functions to explore and fix data quality. Use the same code to process your data in your laptop or in a remote cluster of GPUs. -
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repo2docker GitHub Action
A GitHub action to build data science environment images
Trigger repo2docker to build a Jupyter enabled Docker image from your GitHub repository and push this image to a Docker registry of your choice. This will automatically attempt to build an environment from configuration files found in your repository. Images generated by this action are automatically tagged with both latest and <SHA> corresponding to the relevant commit SHA on GitHub. Both tags are pushed to the Docker registry specified by the user. If an existing image with the latest tag... -
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KlayGE
KlayGE is a cross-platform open source game engine
KlayGE is a cross-platform open source game engine with plugin-based architecture. It's started since 2003. The explicit goal of KlayGE is: to arm your engine with cutting-edge technology. It provides a framework to make game development, testing, porting as simple as possible. Before compiling KlayGE, Python 3.x+ and CMake 3.13+ must be installed first. Then you can run Build.py to build the whole code base. For details, please see Installation. KlayGE can be developed on many platforms... -
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StellarGraph
Machine Learning on Graphs
StellarGraph is a Python library for machine learning on graphs and networks. The StellarGraph library offers state-of-the-art algorithms for graph machine learning, making it easy to discover patterns and answer questions about graph-structured data. It can solve many machine learning tasks. Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can... -
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DETR
End-to-end object detection with transformers
PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based... -
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CodeBeagle
A tool to search source code based on a full text index
CodeBeagle allows you to quickly find all occurrences of a search term inside source code files. It can handle large projects with thousands of files with a very good performance. To do so it creates a full text index of the desired source files. Because it is tolerant to whitespace its search syntax works great for searching source code. The search results are displayed in a source viewer with customizable syntax highlighting. It runs without installation and leaves you in full control when... -
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Tropycal RPG Engine
A RPG maker engine using Pygame
The TP-1 (Tropycal RPG engine 1 ) is a set of modules, with various functions, that will make the rpg creating and play easy. It is in the "code" folder, totally writed in Python programming language, using Pygame API. It simulates persons, battles, animals and vegetals, timed actions, weather and more. The version 1.09 or above can run a game module from a zip file automatically. You dont need to extract it ! The version 1.12 have a very simple network support, tested on GNU/Linux... -
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Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments... -
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SageMaker Containers
Create SageMaker-compatible Docker containers
Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and reliable training process. The SageMaker Training Toolkit can be easily added to any... -
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I change to Balls.py Works again Nov 2023 pathological-beta.py Is the code I am working on. From version 2.35 2 Sep 2020 to current it runs. See information.txt in the Code to see what I am working or have done. ---- pathological-2-11.py This is a conversion of pathological-1.1.3 from Python 2 to Python 3.8.2 and pygame 1.9.6 pathological-1.1.3 Copyright (C) 2003 John-Paul Gignac The conversion is not complete, but does run. ---- 3 Oct 2020
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TxPB
TemporalX gRPC and Documentation Resources
TxPB is the main source of information for using TemporalX, and includes protocol buffer definitions, generated code, and documentation. If you are looking for the protocol buffer definitions, check the pb folder. If you want bindings in other languages, feel free to open a github issue. Alternatively you can generate language bindings independently as long as the languages you are using support the appropriate protocol buffer and gRPC versions. -
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QPyDesk
Code editor and real-time QR code generator for QPython
QPyDesk is a code editor, and real-time QR code generator for QPython. It is a Python code editor with syntax highlighting that also generates the QR code that represents said code in real time. This application also allows you to print the generated QR code to distribute the created application. However, because QR codes have a limited storage capacity, if the code is very long, QPyDesk creates a QR code that is only valid while the application is running, that is, the QR code generated... -
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DeepFaceLab
The leading software for creating deepfakes
... to strengthen their own pipeline with other features without having to write complicated boilerplate code. DeepFaceLab can achieve results with high fidelity that are indiscernible by mainstream forgery detection approaches. Apart from seamlessly swapping faces, it can also de-age faces, replace the entire head, and even manipulate speech (though this will require some skill in video editing). -
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Moritz
transfer xml into specific text-formats (html, dot, source-code, ...)
Moritz is an "addon" to the well known tool doxygen. It generates nassi shneiderman diagramms of functions and methods in a c/c++ source as html-files, which could be included in a software-dokumentaion or simple whached by using a html-browser. -
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Reliable Metrics for Generative Models
Code base for the precision, recall, density, and coverage metrics
Reliable Fidelity and Diversity Metrics for Generative Models (ICML 2020). Devising indicative evaluation metrics for the image generation task remains an open problem. The most widely used metric for measuring the similarity between real and generated images has been the Fréchet Inception Distance (FID) score. Because it does not differentiate the fidelity and diversity aspects of the generated images, recent papers have introduced variants of precision and recall metrics to diagnose those... -
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PythonToolkit (PTK) is an interactive environment for python. It was designed to provide a python based environment similiar to Matlab for scientists and engineers however it can also be used as a general purpose interactive python environment.
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The Development System for Auditory Modelling (DSAM) is a computational library designed specifically for producing simulations of the auditory system. It brings together many established auditory models within a flexible programming platform.
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blur-dev
Blur Studio APIs, Libraries and Tools
Blur Studio APIs, Libraries and Tools What's New: The minimum recommended version of Python to use is 2.7.14. 3ds Max 2019 support was added, 3ds Max 2016 support was dropped. This package includes: blurdev, blurpath, Py3dsMax, and blur3d. Blurdev is the central python package for most python packages and modules created at Blur. It is designed as a sort of umbrella package for other packages and libraries, it has modules and libraries for many different things. Some examples... -
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Kopf
A Python framework to write Kubernetes operators
Kopf —Kubernetes Operator Pythonic Framework, is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic). -
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PHP CODE GENERATOR
THIS IS A PHP SYSTEM THAT GENERATES CODES,
THIS SYSTEM CAN BE USED FOR QUICK DEVELOPMENT OF PHP SYSTEMS -IT CAN BE USED TO MAKE CRUD CODES -GENERATE GRAPHS -GENERATE CODES TO IMPLEMENT LOGIN FOR USERS ETC REQUIREMENETS - PHP SERVER SUCH AS XAMPP, WAMP, LARAGON ETC -WEB BROWSER EG CHROME, FIRE FOX -
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ModelDB
Open Source ML Model Versioning, Metadata, and Experiment Management
An open-source system for Machine Learning model versioning, metadata, and experiment management. ModelDB is an open-source system to version machine learning models including their ingredients code, data, config, and environment and to track ML metadata across the model lifecycle. -
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Data Science at the Command Line
Data science at the command line
...-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power.
