Search Results for "scripts" - Page 19
Sort By:
Showing 1057 open source projects for "scripts"
View related business solutions-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
-
1
Simple Python Browser
A Simple Python Browser with PyQt5
This browser is maintained and build by two devs on github @JohnVictoryz (creator also the one writing this) and @TheHolyTachanka (helping on docs and coding) Github Repository: https://github.com/The-All-Python-Project/SimplePythonBrowser If you have linux check the github page on https://python-browser.github.io/SimplePythonBrowser/installation and pick your distro we have also auto install scripts that the install it automatically -
2
ARPT-Bot
Tool designed to interact with streaming or media-related platforms
ARPT-Bot is an automation tool designed to interact with streaming or media-related platforms, providing automated recording, monitoring, or processing capabilities. It is built to handle repetitive tasks such as tracking live streams, managing content, or executing scripted workflows. The system typically integrates with multimedia tools like FFmpeg to process or capture streams efficiently. It emphasizes automation and reliability, enabling long-running tasks without manual intervention.... -
3
Automation Orchestrator
Automation Orchestrator application to orchestrate digital processes
The Automation Orchestrator allows you to run a local Django Web Application to administrate and orchestrate automation scripts such as Nintex RPA botflows but you may also orchestrate other automation such as Python scripts, batch files, and other RPA tools. The Automation Orchestrator is tested with and supports Nintex RPA version = 15.1. As described on the official Django project site, it "is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. ... -
4
TRACER
Extreme Attention Guided Salient Object Tracing Network
Extreme Attention Guided Salient Object Tracing Network (AAAI 2022) implementation in PyTorch. Now, fast inference mode offers a salient object result with the mask. You can get the more clear salient object by tuning the threshold. We will release initializing TRACER with a version of pre-trained TE-x. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
-
5
SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
...Separate models are trained for different speaker counts, and the largest-capacity model dynamically determines the actual number of speakers in a mixture. The repository includes all necessary scripts for training, dataset preparation, distributed training, evaluation, and audio separation. -
6
Code Cookbook
Reusable code patterns which you can use as reference or copy
Reusable code patterns which you can use as reference or copy to your project. Achieve small or large tasks using recipes that contain steps, scripts, and config files. -
7
Tile Pattern Exporter
Tile large format PNG patterns into print-at-home PDF pages
You can tile large format PNG patterns into print-at-home PDF pages. Created for LearnMYOG. This set of scripts automates the tiling of large format PNG files into letter(A4), tabloid(A3), and A0 sized PDF pages with print margins, alignment and cut guides, page numbers, and a copyright stamp to each page. For best results, input an exported PNG with size in multiples of 7.5 inches wide and 10 inches tall @ 300dpi. -
8
MoCo v3
PyTorch implementation of MoCo v3
...The repository supports multi-node distributed training, automatic mixed precision, and linear scaling of learning rates for large-batch regimes. It also includes scripts for self-supervised pretraining, linear classification, and fine-tuning within the DeiT framework. -
9
instagram-profilecrawl
Instagram profile crawler that extracts posts, tags, and stats
...The collected data can include profile metadata, post details, engagement metrics, and commenter activity, allowing users to analyze account behavior or monitor profile growth over time. It also provides scripts for downloading images from crawled profiles and logging statistics into CSV files for tracking metrics like followers, likes, and comments. Authentication is optional, meaning the crawler can access public profile data without logging in. -
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.
-
10
pyWhat
Identify emails, IP addresses, and more
pyWhat is a Python-based identification tool designed to figure out “what” a piece of text or file content represents, especially in security and OSINT workflows. Given inputs such as hex strings, URLs, email addresses, IP addresses, credit card numbers, cryptocurrency wallets, or entire .pcap capture files, it scans for structured patterns and tells you what it finds. The tool is recursive: it can traverse files and directories to extract meaningful entities, which is useful when analyzing... -
11
JosePythonApps
Here are my python scripts written until now
Here are my python scripts. They are humble but easy to use and, may be you'll find them useful. -
12
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... -
13
Mocking Bird
Clone a voice in 5 seconds to generate arbitrary speech in real-time
...It builds on deep-learning based TTS / voice-cloning technology (in the lineage of projects such as Real-Time-Voice-Cloning), but extends it with support for Mandarin Chinese and multiple Chinese speech datasets — broadening its applicability beyond English. The codebase is implemented in Python (with PyTorch) and includes modules for encoder, synthesizer, vocoder, preprocessing, and inference, as well as demo scripts and a web-server interface for easier experimentation or deployment. MockingBird supports both using pretrained models and training your own synthesizer (with custom datasets), giving flexibility for voice-cloning or custom-voice synthesis depending on your needs. -
14
gpt-2-simple
Python package to easily retrain OpenAI's GPT-2 text-generating model
A simple Python package that wraps existing model fine-tuning and generation scripts for OpenAI's GPT-2 text generation model (specifically the "small" 124M and "medium" 355M hyperparameter versions). Additionally, this package allows easier generation of text, generating to a file for easy curation, allowing for prefixes to force the text to start with a given phrase. For finetuning, it is strongly recommended to use a GPU, although you can generate using a CPU (albeit much more slowly). ... -
15
Trax
Deep learning with clear code and speed
...Trax has bindings to a large number of deep learning datasets, including Tensor2Tensor and TensorFlow datasets. You can use Trax either as a library from your own python scripts and notebooks or as a binary from the shell, which can be more convenient for training large models. It runs without any changes on CPUs, GPUs and TPUs. -
16
TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or... -
17
YOLOR
implementation of paper - You Only Learn One Representation
...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, inference tools, and pretrained weights. Its central contribution is the use of implicit knowledge to improve network performance without treating every task as fully separate. It is useful for computer vision researchers and developers studying YOLO-style detectors, representation learning, and high-performance detection systems. -
18
pytube
A lightweight, dependency-free Python library
Pytube is a lightweight, dependency-free Python library that enables downloading YouTube videos and audio streams with minimal setup. It supports video resolution selection, progressive or adaptive streams, and caption downloads. Pytube is ideal for automation scripts, archiving tools, and media applications that need to interface with YouTube content programmatically. -
19
python-tutorial
Practical Python tutorials, including Python basics
...It covers Python fundamentals, advanced language features, object-oriented programming, multithreading, databases, data science, Flask development, web crawling, and utility scripting. The project is intended for beginners learning Python and for working developers who want reference implementations for common scripts. Its examples are tested in a Python 3 environment and organized into topic-based directories. The repository also includes notebook-style learning materials for basic data types and core language concepts. It is useful as a structured self-study resource, classroom supplement, or quick reference for practical Python usage. -
20
Perceptual Similarity Metric and Dataset
LPIPS metric. pip install lpips
While it is nearly effortless for humans to quickly assess the perceptual similarity between two images, the underlying processes are thought to be quite complex. Despite this, the most widely used perceptual metrics today, such as PSNR and SSIM, are simple, shallow functions, and fail to account for many nuances of human perception. Recently, the deep learning community has found that features of the VGG network trained on ImageNet classification has been remarkably useful as a training... -
21
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 are grouped based on the version of TensorFlow Serving they support. ... -
22
SimSiam
PyTorch implementation of SimSiam
...This elegant yet effective design achieves strong results in unsupervised learning benchmarks such as ImageNet without requiring contrastive losses. The repository provides scripts for both unsupervised pre-training and linear evaluation, using a ResNet-50 backbone by default. It is compatible with multi-GPU distributed training and can be fine-tuned or transferred to downstream tasks like object detection following the same setup as MoCo. -
23
VITS
Conditional Variational Autoencoder with Adversarial Learning
...The repository provides training and inference pipelines for common datasets such as LJ Speech (single-speaker) and VCTK (multi-speaker), including filelists, configs, and preprocessing scripts. It also includes monotonic alignment search code and g2p preprocessing, which are crucial components for aligning text and speech in an end-to-end setup. -
24
Transformer TTS
Implementation of a Transformer based neural network
...This design addresses common autoregressive issues such as repetition, skipped words, and unstable attention, and results in robust, fast synthesis where all frames are predicted in parallel. The repository ships with tooling to build datasets (especially LJSpeech) and create training data, plus scripts to train both the aligner and the TTS model, monitor training with TensorBoard, and resume or reset training runs. -
25
YOLOv4-large
Scaled-YOLOv4: Scaling Cross Stage Partial Network
YOLOv4-large is an open-source implementation of the Scaled-YOLOv4 object detection architecture, designed to improve both the accuracy and scalability of real-time computer vision models. The project provides a PyTorch implementation of the Scaled-YOLOv4 framework, which extends the original YOLOv4 architecture using Cross Stage Partial (CSP) networks and new scaling techniques. Unlike earlier object detection systems that only scale depth or width, this architecture scales multiple aspects...
