Search Results for "python accounting source code" - Page 48

Showing 2549 open source projects for "python accounting source code"

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  • 1
    Scrapyd

    Scrapyd

    A service daemon to run Scrapy spiders

    Scrapyd can manage multiple projects and each project can have multiple versions uploaded, but only the latest one will be used for launching new spiders. A common (and useful) convention to use for the version name is the revision number of the version control tool you’re using to track your Scrapy project code. For example: r23. The versions are not compared alphabetically but using a smarter algorithm (the same packaging uses) so r10 compares greater to r9, for example. Scrapyd is an...
    Downloads: 0 This Week
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  • 2
    Komodo Edit

    Komodo Edit

    Komodo Edit is a fast and free multi-language code editor

    Code faster with the IDE for today’s web languages – Python, PHP, Perl, Golang, Ruby, and more. Powerful editor with syntax highlighting, autocomplete, code refactoring, and more. Visual debugger and more to debug, inspect, and test your code. Support for Git, Mercurial, Subversion, CVS, Perforce and Bazaar. Tons of add-ons for customizing and extending features. Great tools for pair programming and collaboration. Python, PHP, Perl, Go, Ruby, Node.js, JavaScript, and more. Define your own...
    Downloads: 68 This Week
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  • 3
    ConvNeXt V2

    ConvNeXt V2

    Code release for ConvNeXt V2 model

    ConvNeXt V2 is an evolution of the ConvNeXt architecture that co-designs convolutional networks alongside self-supervised learning. The V2 version introduces a fully convolutional masked autoencoder (FCMAE) framework where parts of the image are masked and the network reconstructs the missing content, marrying convolutional inductive bias with powerful pretraining. A key innovation is a new Global Response Normalization (GRN) layer added to the ConvNeXt backbone, which enhances feature...
    Downloads: 0 This Week
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  • 4
    Mars Framework

    Mars Framework

    Mars is a tensor-based unified framework for large-scale data

    Mars is a distributed computing framework designed to scale scientific computing and data science workloads across large clusters while preserving the familiar programming interfaces of common Python libraries. The project provides a tensor-based execution model that extends the capabilities of tools such as NumPy, pandas, and scikit-learn so that large datasets can be processed in parallel without rewriting code for distributed environments. Its architecture automatically divides large...
    Downloads: 15 This Week
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  • 5
    CodeContests

    CodeContests

    Large dataset of coding contests designed for AI and ML model training

    CodeContests, developed by Google DeepMind, is a large-scale competitive programming dataset designed for training and evaluating machine learning models on code generation and problem solving. This dataset played a central role in the development of AlphaCode, DeepMind’s model for solving programming problems at a human-competitive level, as published in Science. CodeContests aggregates problems and human-written solutions from multiple programming competition platforms, including AtCoder,...
    Downloads: 3 This Week
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  • 6
    DeepMozart

    DeepMozart

    Audio generation using diffusion models

    Audio generation using diffusion models in PyTorch. The code is based on the audio-diffusion-pytorch repository.
    Downloads: 1 This Week
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  • 7
    GXSM

    GXSM

    Scanning Probe Microscopy Controller and Data Visualization Software

    GXSM -- Gnome X Scanning Microscopy: A multi-channel image and vector-probe data acquisition and visualization system designed for SPM techniques (STM,AFM..), but also SPA-LEED/LEED/LEEM data analysis. A plug-in interface allows any user add-on data-processing and special hardware and instrument support. Latest: NC-AFM and related explorative methods as SQDM can be configured. High-Speed external PAC-PLL hardware option with digital DSP link. Based on several hardware options it supports...
    Downloads: 1 This Week
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  • 8
    minGPT

    minGPT

    A minimal PyTorch re-implementation of the OpenAI GPT

    minGPT is a minimalist, educational re-implementation of the GPT (Generative Pretrained Transformer) architecture built in PyTorch, designed by Andrej Karpathy to expose the core structure of a transformer-based language model in as few lines of code as possible. It strips away extraneous bells and whistles, aiming to show how a sequence of token indices is fed into a stack of transformer blocks and then decoded into the next token probabilities, with both training and inference supported....
    Downloads: 0 This Week
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  • 9
    MAX StressTester

    MAX StressTester

    MAX StressTester: Python stress testing tool for max CPU, RAM and Disk

    Disclaimer:im still working on this project please provide any feedback of bugs if you want :D helps me improve the experience for others. Also, windows might flag the exe file for a virus as it a python to exe file (might fix it later) this explains why it could be flagged as a virus on some virus detectors: https://s.id/1Cuk1 MAX StressTester is an open-source stress testing tool developed by ssit, available on the popular software development platform, SourceForge. The tool is written in Python, making it easy to use and highly customizable for stress testing purposes. ...
    Downloads: 0 This Week
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  • 10
    Multi-Agent Particle Envs

    Multi-Agent Particle Envs

    Code for a multi-agent particle environment used in a paper

    Multiagent Particle Environments is a lightweight framework for simulating multi-agent reinforcement learning tasks in a continuous observation space with discrete action settings. It was originally developed by OpenAI and used in the influential paper Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. The environment provides simple particle-based worlds with simulated physics, where agents can move, communicate, and interact with each other. Scenarios are designed to...
    Downloads: 0 This Week
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  • 11
    data-science-on-gcp

    data-science-on-gcp

    Source code accompanying book: Data Science on the GCP

    The data-science-on-gcp repository is a comprehensive collection of code examples and end-to-end workflows that accompany the book Data Science on the Google Cloud Platform, designed to teach developers how to build scalable data science and machine learning systems using Google Cloud services. It provides structured, chapter-aligned implementations that guide users through the full lifecycle of a data science project, including data ingestion, storage, processing, analysis, model training,...
    Downloads: 3 This Week
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  • 12
    Neural Network Visualization

    Neural Network Visualization

    Project for processing neural networks and rendering to gain insights

    nn_vis is a minimalist visualization tool for neural networks written in Python using OpenGL and Pygame. It provides an interactive, graphical representation of how data flows through neural network layers, offering a unique educational experience for those new to deep learning or looking to explain it visually. By animating input, weights, activations, and outputs, the tool demystifies neural network operations and helps users intuitively grasp complex concepts. Its lightweight codebase is...
    Downloads: 0 This Week
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  • 13

    EQButtons

    A Button replacement for Alt+Tab in EQ

    UPDATE: ****************************** I am no longer updating this project. I discovered a project from Microsoft called boxcar. It does what I wanted to do even better than I was planning to make my code so hopefully it will work for you too. I will leave this up for those who still want to use it. MS Boxcar: https://apps.microsoft.com/detail/9pnj5kjc8vvm?hl=en-US&gl=US I will upload the source code at some point and share that also. **************** This little utility just...
    Downloads: 0 This Week
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  • 14
    UnionML

    UnionML

    Build and deploy machine learning microservices

    Creating ML apps should be simple and frictionless. UnionML is an open-source Python framework built on top of Flyte™, unifying the complex ecosystem of ML tools into a single interface. Combine the tools that you love using a simple, standardized API so you can stop writing so much boilerplate and focus on what matters: the data and the models that learn from them. Fit the rich ecosystem of tools and frameworks into a common protocol for machine learning.
    Downloads: 0 This Week
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  • 15
    CPT

    CPT

    CPT: A Pre-Trained Unbalanced Transformer

    A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation. We replace the old BERT vocabulary with a larger one of size 51271 built from the training data, in which we 1) add missing 6800+ Chinese characters (most of them are traditional Chinese characters); 2) remove redundant tokens (e.g. Chinese character tokens with ## prefix); 3) add some English tokens to reduce OOV. Position Embeddings We extend the max_position_embeddings from 512 to 1024. We...
    Downloads: 0 This Week
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  • 16
    d2l-zh

    d2l-zh

    Chinese-language edition of Dive into Deep Learning

    d2l‑zh is the Chinese-language edition of Dive into Deep Learning, an interactive, open‑source deep learning textbook that combines code, math, and explanatory text. It features runnable Jupyter notebooks compatible with multiple frameworks (e.g., PyTorch, MXNet, TensorFlow), comprehensive theoretical analysis, and exercises. Widely adopted in over 70 countries and used by more than 500 universities for teaching deep learning.
    Downloads: 0 This Week
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  • 17

    lv2gen

    Generate boilerplate for LV2 plugins

    A python package for describing audio and synth plugins and generating boilerplate code from that description, including LV2’s manifest.ttl and a simplified GUI for the`Mod Dwarf.
    Downloads: 0 This Week
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  • 18
    quantitative

    quantitative

    Quantized transactions python3

    The “quantitative” repository by Jack-Cherish is a tutorial-style codebase for quantitative trading written in Python — essentially a learning resource that guides users through building algorithmic trading strategies step by step. It’s organized as a sequence of lessons (lesson1, lesson2, etc.), making it approachable for learners who want to understand both theory and practice in quantitative finance. The repo is evidently tied to a popular video series (on Bilibili) that reportedly drew...
    Downloads: 0 This Week
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  • 19
    OpsManage

    OpsManage

    Automated operation and maintenance platform

    Automated operation and maintenance platform: code and application deployment CI/CD, asset management CMDB, scheduled task management platform, SQL audit | rollback, task scheduling, on-site WIKI. A code deployment, application deployment, scheduled tasks, and equipment asset management platform. Welcome to star or fork my open source project. If you need to quote the project code in your own project, please declare the agreement and copyright information in the project. ...
    Downloads: 0 This Week
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  • 20
    rust.vim

    rust.vim

    Vim configuration for Rust

    rust.vim is the official Vim plugin from the Rust Lang Foundation team that adds support for Rust files in Vim and Neovim. It provides file-detection (so .rs files are recognised), syntax highlighting tuned for Rust’s syntax and macros, and supports formatting via rustfmt and other language-specific tooling. The plugin also integrates with other Vim tools and linters, helping you build a full Rust-editing workflow in Vim. Because Rust’s macro system and language features are more complex...
    Downloads: 0 This Week
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  • 21
    CleanRL

    CleanRL

    High-quality single file implementation of Deep Reinforcement Learning

    CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features. The implementation is clean and simple, yet we can scale it to run thousands of experiments using AWS Batch. CleanRL is not a modular library and therefore it is not meant to be imported. At the cost of duplicate code, we make all implementation details of a DRL algorithm variant easy to understand, so CleanRL comes with its own pros and cons. You should...
    Downloads: 0 This Week
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  • 22
    Dummy-Robot

    Dummy-Robot

    My super mini robotic arm robot project

    Dummy-Robot is an open source robotics project by Peng Zhihui that showcases the design and implementation of a compact robotic arm . The repository contains full hardware design files, firmware, control software, and 3D models. It includes components such as a gripper, LED light ring PCB, wireless spatial positioning controller, and a portable case. The project demonstrates advanced engineering with stepper motor drivers, custom controllers, and debugging tools. While the original version...
    Downloads: 3 This Week
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  • 23
    Minimal text diffusion

    Minimal text diffusion

    A minimal implementation of diffusion models for text generation

    A minimal implementation of diffusion models of text: learns a diffusion model of a given text corpus, allowing to generate text samples from the learned model. The main idea was to retain just enough code to allow training a simple diffusion model and generating samples, remove image-related terms, and make it easier to use. To train a model, run scripts/train.sh. By default, this will train a model on the simple corpus. However, you can change this to any text file using the --train_data...
    Downloads: 0 This Week
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  • 24

    OpenOffice.org Utility Library

    Library modules for creating ODF documents.

    OpenOffice.org Utility Library modules for creating Open Document Format (ODF) documents which can be read by Office Suites including OpenOffice.org, LibreOffice.org, and Microsoft Office. Currently, ooolib-python can create Calc spreadsheet ODS documents. These documents include many features including: - Create multiple table spreadsheets - Cells with text, numbers, dates, formulas - Ability to use built-in styles - Ability to create automatic styles (ie. bold, italics,...
    Downloads: 2 This Week
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  • 25
    CommandlineConfig

    CommandlineConfig

    A library for users to write configurations in Python

    CommandlineConfig is a lightweight Python library designed to simplify managing configuration parameters for experiments and applications, especially in research workflows that require frequent tweaking of hyperparameters. It lets you define configuration in familiar Python dictionaries or JSON files and then access nested parameters via dot notation in code, improving readability and reducing boilerplate. One of its core strengths is the ability to override configuration values directly...
    Downloads: 0 This Week
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