Search Results for "tiny-workflow" - Page 19
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Showing 628 open source projects for "tiny-workflow"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Vimspector
A multi-language debugging system for Vim
...Once configured you can run, pause, step into/out/over, set and clear breakpoints and inspect variables directly in Vim splits or floating windows. The UI is heavy compared to typical Vim plugins (multiple panes, layouts) but it fills the gap for users who want an integrated debug workflow without leaving the editor. -
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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... -
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Komodo Edit
Komodo Edit is a fast and free multi-language code editor
...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 workflow with easy file and project navigation. Backed by ActiveState, trusted by developers and enterprises. -
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Kanbanara
Web-based Project Management System using the Kanban methodology
...It also features a hierarchical workflow, global filter, backlog pyramid, force-directed graphs utilising d3.js, report generator, routine card manager, pair programming, support for continuing cards from one project to another. Full documentation in HTML and EPUB formats. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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albert_zh
Implementation of A Lite Bert For Self-Supervised Learning Language
...It implements ALBERT with TensorFlow and provides Chinese pretrained models designed to reduce parameter size while preserving strong language understanding performance. The project includes several model variants, such as tiny, small, base, large, and xlarge-style releases, giving users options for speed, size, and accuracy tradeoffs. It also provides guidance for fine-tuning downstream tasks such as sentence-pair semantic similarity and Chinese classification benchmarks. The repository includes support paths for TensorFlow, PyTorch conversion, Keras loading, TensorFlow 2.0 loading, and TensorFlow Lite deployment for mobile scenarios. ... -
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SQLBucket
Lightweight library to write, orchestrate and test your SQL ETL
SQLBucket is a lightweight framework to help write, orchestrate and validate SQL data pipelines. It gives the possibility to set variables and introduces some control flow using the fantastic Jinja2 library. It also implements a very simplistic unit and integration test framework where you can validate the results of your ETL in the form of SQL checks. With SQLBucket, you can apply TDD principles when writing data pipelines. To start working, you need to instantiate your SQLBucket core... -
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rust.vim
Vim configuration for Rust
...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 than many languages, rust.vim handles special tokens and highlights accordingly. Though it doesn’t itself provide full language-server (LSP) capabilities, it lays the foundation so you can plug in LSP or other completion/diagnostic plugins. Many Rust users say that rust.vim is a reliable baseline for making Vim feel like a competent Rust editor rather than a bare text editor. -
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pdd
Tiny date, time diff calculator
There are times you want to check how old you are (in years, months, days) or how long you need to wait for the next flash sale... pdd (python3 date diff) is a small cmdline utility to calculate date and time difference. If no program arguments are specified it shows the current date, time and timezone. -
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Yellowbrick
Visual analysis and diagnostic tools to facilitate ML selection
...In a nutshell, Yellowbrick combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your machine learning workflow. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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YOLOV4 Pytorch
This is a source code for YoloV4-pytorch that can be used to train you
YOLOV4 Pytorch is a PyTorch implementation of the YOLOv4 object detection model for training and running custom detection systems. The repository is structured around practical workflows, including training, prediction, evaluation, anchor generation, model configuration, and dataset annotation utilities. It supports VOC-style datasets and includes scripts for prediction, mAP evaluation, FPS testing, video prediction, batch prediction, and heatmap generation. The project added multi-GPU... -
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YOLOV3 Pytorch
This is a source code for yolo3-pytorch
YOLOV3 Pytorch is a PyTorch implementation of the YOLOv3 object detection model built for training, prediction, and evaluation. The repository provides a complete workflow for users who want to train their own object detector with VOC-style data or use pretrained weights. It includes utilities for annotation conversion, anchor generation, image prediction, video prediction, batch prediction, FPS measurement, heatmap output, and mAP evaluation. The project added multi-GPU training, target count statistics, learning rate scheduling with step and cosine options, and optimizer selection between Adam and SGD. ... -
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SharPyShell
Tiny and obfuscated ASP.NET webshell for C# web applications
SharPyShell is a tiny and obfuscated ASP.NET web shell that executes commands received by an encrypted channel compiling them in memory at runtime. SharPyShell supports only C# web applications that run on .NET Framework >= 2.0. SharPyShell is a post-exploitation framework written in Python. The main aim of this framework is to provide the penetration tester with a series of tools to ease the post-exploitation phase once exploitation has been successful against an IIS webserver. ... -
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pspider
Simple Python framework for building multithreaded web crawlers
...It focuses on providing an easy-to-understand architecture while still supporting concurrent crawling for improved performance. It uses a multithreaded model that separates the crawling workflow into several components responsible for fetching, parsing, and saving data. Tasks are managed through queues, allowing different parts of the crawler to process work asynchronously and efficiently. PSpider defines a set of modules and utility classes that help developers manage crawling tasks, filter URLs, and process scraped content. ... -
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Faster-Rcnn
This is a pytorch implementation library of faster-rcnn
...The project also includes learning rate scheduling through step and cosine methods, optimizer choices between Adam and SGD, adaptive learning rate behavior based on batch size, image cropping, FPS testing, video prediction, and batch prediction. It is a practical reference for users who want a more classical two-stage detector workflow in PyTorch. -
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Unet
Source code for unet-pytorch, which can train its own model
Unet-pytorch is a PyTorch implementation of U-Net for semantic segmentation workflows. The repository is built around training, prediction, and mIoU evaluation for VOC-style segmentation data and medical-style datasets. It includes scripts for general training, medical dataset training, prediction, annotation handling, model summaries, and evaluation. The project supports multiple backbones, data processing utilities, extensive comments, and adjustable training parameters. Its README notes... -
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DeepLabv3 Plus
Encoder-Decoder with Atrous Separable Convolution
DeepLabv3 Plus is a PyTorch implementation of DeepLabv3+ for semantic segmentation. It implements the encoder-decoder architecture with atrous separable convolution and provides a practical workflow for training, prediction, and mIoU evaluation. The repository supports VOC-style segmentation datasets and includes utilities for annotation generation, JSON dataset conversion, model summary inspection, prediction, and metric calculation. It provides pretrained weight workflows for MobileNetV2 and Xception backbones and notes that the correct backbone should be selected during training and prediction. ... -
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e-Dokyumento
e-Dokyumento is web-based Document Management System (DMS)
e-Dokyumento is opensource web-based Document Management System (DMS) A Document Management which automates the basic office document workflow such as receiving, filing, routing, and approving through capturing (scanning), digitizing (OCR Reading), storing, tagging, and electronically routing and approving (e-signature) of electronic documents. # Demo : https://e-dokyumento.herokuapp.com/ https://edokyu.seillig.com/ (refer to Readme.md for the accounts) #Dockerhub: https://hub.docker.com/r/nelsonmaligro/edokyumento # Install using the ISO: 1. ... -
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A set of tools (command line and GUI) to provide a complete digital photo workflow for Unixes. EXIF headers are used as the central information repository, so users may change their software at any time without loosing any data.
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AI-Writer
RWKV for Chinese novel generation
...It focuses on generating Chinese web fiction, including fantasy and romance-style writing. The project includes Python scripts, server files, model folders, and a web-client workflow for continuing user-written text. It supports CPU use and GPU acceleration paths depending on hardware, although much of the repository’s original setup information is now marked as outdated. The project is best understood as an early creative-writing demonstration for RWKV rather than a modern production writing platform. Its main value is showing how small language models can be adapted for genre fiction generation and interactive text continuation. -
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csvSearch
A simple Python program to search a csv file
csvSearch is a tiny python program that use a simple gui to search and copy data from a csv (comma separated value) file. All parameters can be provided on the command line, allowing quick launch using specific file and search parameters. -
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AutoSub
A CLI script to generate subtitle files (SRT/VTT/TXT) for any video
AutoSub is a Python-based tool designed to automatically generate subtitles for video or audio content using speech recognition technology. It processes media files by extracting audio, transcribing spoken content, and generating subtitle files in standard formats. The tool supports multiple languages and can integrate with translation systems to produce subtitles in different languages. It is designed for automation, allowing batch processing of multiple media files. AutoSub leverages... -
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yesitsme
Simple OSINT script to find Instagram profiles by name
yesitsme is a Python-based OSINT utility designed to help investigators identify potential Instagram accounts associated with a specific person using limited identifying data. The script works by querying indexed public information and comparing obfuscated email addresses and phone numbers against user-provided inputs to estimate match confidence. It is intended to automate a time-consuming manual investigation process by aggregating candidate usernames and classifying them into match levels... -
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YOLOv4
PyTorch implementation of YOLOv4
PyTorch_YOLOv4 is a PyTorch implementation of YOLOv4 based on the earlier ultralytics YOLOv3 codebase. It provides a practical way to train, test, and run YOLOv4-style object detection models without relying only on the original Darknet implementation. The repository supports common detection workflows such as dataset preparation, model training, evaluation, inference, and weight conversion. It is useful for developers who prefer the PyTorch ecosystem for experimentation, debugging, and... -
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YOLOR
implementation of paper - You Only Learn One Representation
YOLOR is the implementation of “You Only Learn One Representation,” a unified network approach for learning explicit and implicit knowledge together. The project focuses on object detection while exploring how a shared representation can support multiple tasks. It builds on the YOLO family and related PyTorch detection work, combining practical detector training with a research idea about unified representations. YOLOR includes model configurations, training code, evaluation scripts,... -
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pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks
pytorch-fcn is a PyTorch implementation of Fully Convolutional Networks for semantic image segmentation. It reproduces the influential FCN approach that converts classification networks into dense, pixel-level predictors. The package includes FCN32s, FCN16s, FCN8s, and FCN8s-at-once variants with progressively finer output reconstruction. Training code and a PASCAL VOC example are provided so users can reproduce baseline experiments. The repository reports mean intersection-over-union...
