Search Results for "g-code" - Page 59
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Showing 2698 open source projects for "g-code"
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TA-Lib.git: Technical Analysis Library
Mirror of the TA-Lib project using a Git repository
This project is intended to provide Git access to the code of the original project, TA-Lib, which uses Subversion. It is intended for system integrators wishing to use TA-Lib in their Git-managed project through Git submodules or subtrees. No actual development is being done here; all development happens in the original project. -
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DCT
Diffraction Contrast Tomography analysis code
Diffraction contrast tomography code base, as developed by researchers from beamline ID19 of the ESRF, Grenoble, France, and Manchester University, UK. -
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wordle
Create a wordcloud for a Git repository
Create a wordcloud for a Git repository. Can also create wordclouds from directories of source files or a single source file. wordle uses tox to automate testing and packaging, and pre-commit to maintain code quality. Tests are run with tox and pytest. To run tests for a specific Python version, such as Python 3.6. The documentation is powered by Sphinx. A local copy of the documentation can be built with tox. Type annotations are checked using mypy. Run mypy using tox. -
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Hasklig
A code font with monospaced ligatures
...Composite glyphs are problematic in languages such as Haskell which utilize these complicated operators (=> -< >>= etc.) extensively. The readability of such complex code improves with pretty printing. Academic articles featuring Haskell code often use lhs2tex to achieve an appealing rendering, but it is of no use when programming. Hasklig solves the problem the way typographers have always solved ill-fitting characters which co-occur often, ligatures. The underlying code stays the same, only the representation changes. ... -
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Minecraft
Simple Minecraft-inspired program using Python and Pyglet
...The project implements a first-person block world where you can walk around, jump, fly, and place or remove blocks using a small set of block types like brick, grass, and sand. It provides full WASD movement with mouse look and basic building controls, giving a surprisingly complete “sandbox” feel in only a small amount of Python code. The author explicitly describes a vision for the project as an educational tool: because many kids love Minecraft and Python is a friendly first programming language, the codebase is meant to be readable, hackable, and heavily commented so learners can tweak parameters like gravity or walking speed and see the effects immediately. ... -
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Awesome AI-ML-DL
Awesome Artificial Intelligence, Machine Learning and Deep Learning
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics. This repo is dedicated to engineers, developers, data scientists and all other professions that take interest in AI, ML, DL and related sciences. To make learning interesting and to create a place to easily find all the necessary material. Please contribute, watch, star, fork and share the repo with others in your community. -
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sshtunnel
SSH tunnels to remote server
...The library opens SSH port-forwarding connections in the background, allowing local applications to reach remote or private services through a secure channel. It supports local and remote bind addresses, password authentication, private keys, and configuration through Python code. sshtunnel is especially useful for developers, administrators, and automation scripts that need controlled access to databases, internal dashboards, or protected network services. Its value comes from making SSH forwarding easier to manage inside Python workflows without relying only on manual command-line SSH syntax. -
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TRACARDI - Customer Data Platform
TRACARDI free open-source customer data platform
...Regardless if it is web site, mobile app or CRM system open Api let you send data for further processing. Integrate data into one consistent user profile. TRACARDI is free open-source platform which you can extend the way you want it. TRACARDI is a low-code framework you can integrate with other parts of your ecosystem. Integrate it with other open source platforms. -
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peda
Python Exploit Development Assistance for GDB
...Display arguments passed to a function when stopped at a call instruction. Search for all addresses/references to addresses which belong to a memory range. Generate or download common shellcodes. Generate python exploit code template. Get virtual mapping address ranges of section(s) in debugged process. XOR a memory region with a key. -
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ruia
Async Python framework for fast and flexible web scraping spiders
...Ruia is powered by Python’s asyncio library along with aiohttp, enabling developers to perform concurrent network requests efficiently and scrape data from websites with minimal overhead. Ruia follows a “write less, run faster” philosophy, emphasizing concise code and streamlined spider development. It provides a structured approach to building scraping projects through components such as data items, spiders, middleware, and plugins. Developers can define structured fields to extract information from HTML content and process responses asynchronously to improve crawling performance. It also supports middleware and plugin systems that allow customization of request handling, response processing, and additional functionality. -
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TensorLayer
Deep learning and reinforcement learning library for scientists
...This project can also be found at OpenI and Gitee. 3.0.0 has been pre-released, the current version supports TensorFlow, MindSpore and PaddlePaddle (partial) as the backends, allowing users to run the code on different hardware like Nvidia-GPU and Huawei-Ascend. In the future, it will support TensorFlow, MindSpore, PaddlePaddle, PyTorch and other backends. TensorLayer has a high-level layer/model abstraction which is effortless to learn. You can learn how deep learning can benefit your AI tasks in minutes through the massive examples. -
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...The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data. The code includes training and evaluation scripts that can be adapted for custom datasets, making it useful for experimenting with retrieval systems in computer vision. By leveraging CNN architectures, the project showcases how learned embeddings can capture semantic similarity across varied images. This resource serves as both an educational reference and a foundation for further exploration in image retrieval research.
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STManager
manage assortment in your company
...When the right information is needed, then it lets you quickly search for the right product you are looking for. Application designed to help with managing for example postal packages, where each product is very distinct for one another. For source code and more insides of this project, please visit github page: https://github.com/michalwilk123/STManager Name STManager is derived from old name: "Stocktake Manager". -
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PlaystoreDownloader
A command line tool to download Android applications
...After an initial (one-time) configuration, applications can be downloaded by specifying their package name. There are two ways of getting a working copy of PlaystoreDownloader on your own computer: either by using Docker or by using directly the source code in a Python 3 environment. In both cases, the first thing to do is to get a local copy of this repository, so open up a terminal in the directory where you want to save the project and clone the repository. Apart from valid Google Play Store credentials, the only requirement of this project is a working Python 3 (at least 3.7) installation and pipenv (for dependency management). -
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molten
A minimal, extensible, fast and productive framework
molten is a minimal, extensible, fast and productive framework for building HTTP APIs with Python. molten can automatically validate requests according to predefined schemas, ensuring that your handlers only ever run if given valid input. Schemas are PEP484-compatible, which means mypy and molten go hand-in-hand, making your code more easy to maintain. Schema instances are automatically serializable and you can pick and choose which fields to exclude from responses and requests. Write clean, decoupled code by leveraging DI. Define components for everything from settings to DB access and business logic, test them in isolation and swap them out as needed. Here we’ve declared a Todo manager whose job it is to store and load Todos in the DB. ... -
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Image GPT
Large-scale autoregressive pixel model for image generation by OpenAI
Image-GPT is the official research code and models from OpenAI’s paper Generative Pretraining from Pixels. The project adapts GPT-2 to the image domain, showing that the same transformer architecture can model sequences of pixels without altering its fundamental structure. It provides scripts to download pretrained checkpoints of different model sizes (small, medium, large) trained on large-scale datasets and includes utilities for handling color quantization with a 9-bit palette. ... -
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MToolBox
A bioinformatics pipeline to analyze mtDNA from NGS data
...MToolBox provides also a Variant Call Format file (version 4.0) featuring, for the first time, allele-specific heteroplasmy. Please, check out the most recent updates of the source code with the Github repository of MToolBox: https://github.com/mitoNGS/MToolBox or visit the Web version of MToolBox @ MSeqDR: https://mseqdr.org/mtoolbox.php -
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Deep Exemplar-based Video Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Colorization"
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization". End-to-end network for exemplar-based video colorization. The main challenge is to achieve temporal consistency while remaining faithful to the reference style. To address this issue, we introduce a recurrent framework that unifies the semantic correspondence and color propagation steps. -
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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. -
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commit-autosuggestions
A tool that AI automatically recommends commit messages
...CodeBERT: A Pre-Trained Model for Programming and Natural Languages introduces a pre-trained model in a combination of Program Language and Natural Language(PL-NL). It also introduces the problem of converting code into natural language (Code Documentation Generation). We can use CodeBERT to create a model that generates a commit message when code is added. However, most code changes are not made only by add of the code, and some parts of the code are deleted. We plan to slowly conquer languages that are not currently supported. To run this project, you need a flask-based inference server (GPU) and a client (commit module). ... -
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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 in this case is useless for distribute the application, but it is still useful to check the operation of the script while it is encoded from the computer. ... -
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Multi-Agent Emergence Environments
Environment generation code for the paper "Emergent Tool Use"
...It was designed for the experiments described in the paper and blog post “Emergent Tool Use from Multi-Agent Autocurricula”, which investigated how complex cooperative and competitive behaviors can evolve through self-play. The repository provides environment generation code that builds on the mujoco-worldgen package, enabling dynamic creation of simulated physical environments. Developers can construct custom environments by combining modular components such as Boxes, Ramps, and RandomWalls using a flexible layering approach that reduces code duplication. The framework includes several predefined environments—such as Hide and Seek, Box Locking, Blueprint Construction, and Shelter Construction—that model distinct problem-solving and collaboration scenarios. -
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OpenAI Glow
Copy code in "Glow: Generative Flow with Invertible 1x1 Convolutions"
...Glow’s architecture is based on reversible layers and efficient flow operations, which allow large-scale training while keeping memory usage manageable. The repository provides training code, pretrained models, and scripts for generating samples or reproducing key results from the original research. Glow is primarily intended for researchers and practitioners exploring generative modeling, likelihood-based training, and interpretable deep learning systems. -
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algo
50 Code Implementations You Must Know About Data Structures
algo is an educational repository containing practical implementations of essential data structures and algorithms. It organizes roughly fifty core exercises by topic rather than presenting a single reusable software library. The material covers arrays, linked lists, stacks, queues, recursion, sorting, binary search, hash tables, strings, trees, heaps, and graphs. More advanced examples address backtracking, divide-and-conquer methods, dynamic programming, shortest paths, topological... -
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Lambda Networks
Implementation of LambdaNetworks, a new approach to image recognition
...The new method utilizes λ layer, which captures interactions by transforming contexts into linear functions, termed lambdas, and applying these linear functions to each input separately. Shinel94 has added a Keras implementation! It won't be officially supported in this repository, so either copy / paste the code under ./lambda_networks/tfkeras.py or make sure to install tensorflow and keras before running the provided commands.
