Search Results for "python data analysis" - Page 74
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Showing 4115 open source projects for "python data analysis"
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1
Trape
OSINT tool for tracking users and analyzing browser data online
Trape is an open source OSINT analysis and research tool designed to track and analyze users on the internet in real time. The project focuses on demonstrating how web browsers can reveal sensitive information about users while interacting with websites and online services. It provides researchers, security professionals, and organizations with a platform for studying how attackers could gather intelligence through social engineering techniques. -
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Pythopad
A free Python source code editor and Notepad replacement for Windows
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ML workspace
All-in-one web-based IDE specialized for machine learning
All-in-one web-based development environment for machine learning. The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard)... -
4
Texthero
Text preprocessing, representation and visualization from zero to hero
Texthero is a python package to work with text data efficiently. It empowers NLP developers with a tool to quickly understand any text-based dataset and it provides a solid pipeline to clean and represent text data, from zero to hero. -
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5
Glazier
A tool for automating the installation of Windows OS
...The tool is fully text-based and code-driven, with configurations written in YAML, allowing teams to leverage source control for versioning, collaboration, and quality assurance. By distributing installation data via HTTPS, Glazier ensures scalability and flexibility, supporting both simple local servers and large-scale cloud-based deployments. Its extensibility makes it easy for administrators to create custom actions using Python or PowerShell, enabling tailored automation for diverse enterprise environments. Designed for engineers, Glazier emphasizes repeatability, maintainability, and transparency in Windows. -
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Neuro-comma
Punctuation restoration production-ready model for Russian language
This library was developed with the idea to help us to create punctuation restoration models to memorize trained parameters, data, training visualization, etc. The Library doesn't use any high-level frameworks, such as PyTorch-lightning or Keras, to reduce the level entry threshold. Feel free to fork this repo and edit model or dataset classes for your purposes. Our team always uses the latest version and features of Python. We started with Python 3.9, but realized, that there is no FastAPI image for Python 3.9. ... -
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Machine-Learning
kNN, decision tree, Bayesian, logistic regression, SVM
...This makes the repo suitable for students, hobbyists, or developers who want to deeply understand how ML algorithms work under the hood and experiment with parameter tuning or custom data. Because it's part of the author’s learning-path repositories, it likely is integrated with tutorials, sample datasets, and contextual guidance, which helps users bridge theory. -
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Arraymancer
A fast, ergonomic and portable tensor library in Nim
Arraymancer is a tensor and deep learning library for the Nim programming language, designed for high-performance numerical computations and machine learning applications. -
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Old Photo Restoration
Bringing Old Photo Back to Life (CVPR 2020 oral)
We propose to restore old photos that suffer from severe degradation through a deep learning approach. Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize. Therefore, we propose a novel triplet domain translation network by leveraging real photos along with massive synthetic image pairs. Specifically, we train two... -
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PyExfil
A Python Package for Data Exfiltration
PyExfil was born as a PoC and kind of a playground and grew to be something a bit more. In my eyes it’s still a messy PoC that needs a lot more work and testing to become stable. The purpose of PyExfil is to set as many exfiltrations, and now also communication, techniques that CAN be used by various threat actors/malware around to bypass various detection and mitigation tools and techniques. You can track changes at the official GitHub page. Putting it simply, it’s meant to be used as a... -
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Osintgram
Osintgram is a OSINT tool on Instagram
Osintgram is an OSINT (Open Source Intelligence) tool designed to extract, analyze, and store information from public Instagram profiles. It allows users to retrieve data like followers, hashtags, stories, tagged posts, and locations. The tool is often used by researchers and security analysts for data gathering, footprinting, and investigative purposes related to social media profiling. -
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Kale
Kubeflow’s superfood for Data Scientists
KALE (Kubeflow Automated pipeLines Engine) is a project that aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows. Kubeflow is a great platform for orchestrating complex workflows on top Kubernetes and Kubeflow Pipeline provides the mean to create reusable components that can be executed as part of workflows. The self-service nature of Kubeflow make it extremely appealing for Data Science use, at it provides an easy access to advanced distributed jobs... -
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I Heart LA
Compilable markdown for linear algebra
I Heart LA is a compilable markdown for math. It can generate working code in your favorite language (C++, Python, MATLAB, more to come) and LaTeX from snippets. -
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Hands-on Unsupervised Learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
...Unsupervised learning can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel provides practical knowledge on how to apply unsupervised learning using two simple, production-ready Python frameworks - scikit-learn and TensorFlow. With the hands-on examples and code provided, you will identify difficult-to-find patterns in data. -
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Transformer TTS
Implementation of a Transformer based neural network
TransformerTTS is an implementation of a non-autoregressive Transformer-based neural network for text-to-speech, built with TensorFlow 2. It takes inspiration from architectures like FastSpeech, FastSpeech 2, FastPitch, and Transformer TTS, and extends them with its own aligner and forward models. The system separates alignment learning and acoustic modeling: an autoregressive Transformer is used as an aligner to extract phoneme-to-frame durations, while a non-autoregressive... -
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Store Management System
system which works as electronic notebook for keeping records...
Visit our site given below for the LATEST UPDATE and guide for use of store management system on https://tmotagam.github.io/ Shop management system which works as electronic notebook it keeps data about sales and also of products it has Point of sale backups and inventory system WHAT`S NEW: Added New Icon We have launched new project FTPT for sharing your files with your teams using ftp go check it out LINK https://sourceforge.net/projects/ftpt/ We have launched new project... -
17
gToWbot
Automatically collect resources on your farm
Free and open-source bot writed on python3 for Tales of Wind MMORPG. Using the opencv-python computer vision package! At now: helps you to collect automatically resources (fish, wood, stones) on your farm! Works with all types of translations of ToW gToWbot doesn't collect your personal data and ToW account details! GitHub: https://github.com/grildroid/gToWbot Discord: https://discord.gg/6ZGDgFjDVm -
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QuCAT
Quantum Circuit Analyzer Tool
QuCAT stands for Quantum Circuit Analyzer Tool. This open source python library provides standard analysis tools for superconducting electronic circuits, built around Josephson junctions. QuCAT features an intuitive graphical or programmatical interface to create circuits, the ability to compute their Hamiltonian, and a set of complimentary functionalities such as calculating dissipation rates or visualizing current flows in the circuit. -
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BMC
Notes on Scientific Computing for Biomechanics
This repository is a collection of lecture notes and code on scientific computing and data analysis for Biomechanics and Motor Control. -
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MiniMon
Read and Log CO2, Temperature, and Humidity from a CO2 Monitor Device
MiniMon 1.1 released! MiniMon can now also be used as a device under GeigerLog: https://sourceforge.net/projects/geigerlog/ CO2 Monitor is a small, low-cost (~65€) device, which is advertised as a 'bad-air' monitor for home and office, which it indicates by green, yellow, and red LEDs, and a small numeric LCD display. MiniMon is a simple Python3 program, which can read the data from this device via a USB connection, show them on the computer screen, and log them to disk, including a... -
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Ansible Role: prometheus
Deploy Prometheus monitoring system
Ansible-Prometheus is an Ansible role for automating the deployment and configuration of Prometheus monitoring systems. -
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HomeTabs
HomeTabs project helps you to organize bookmarks for web browsers
HomeTabs project helps you to organize bookmarks for web browsers (like a standart browser's home page, but cooler and more comfortable). Design of HomeTabs was inspiried by Mozilla Firefox startpage, i think this is the best way to organise bookmarks, but history of browsing saved on homepage - is bad idea. GitHub: https://github.com/grildroid/HomeTabs Discord: https://discord.gg/6ZGDgFjDVm -
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tensorflow_template_application
TensorFlow template application for deep learning
tensorflow_template_application is a template project that demonstrates how to structure scalable applications built with TensorFlow. The repository provides a standardized architecture that helps developers organize machine learning code into clear components such as data processing, model training, evaluation, and deployment. Instead of focusing on a specific algorithm, the project emphasizes software engineering practices that make machine learning systems easier to maintain and extend.... -
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TransPose
PyTorch Implementation for "TransPose, Keypoint localization
TransPose is a human pose estimation model based on a CNN feature extractor, a Transformer Encoder, and a prediction head. Given an image, the attention layers built in Transformer can efficiently capture long-range spatial relationships between keypoints and explain what dependencies the predicted keypoints locations highly rely on. -
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
earthengine-py-notebooks is a comprehensive collection of hundreds of Jupyter Python notebooks that serve as examples and tutorials for using the Google Earth Engine Python API. These notebooks are organized into thematic areas such as image processing, machine learning, visualization, filtering, and asset management, exposing users to real geospatial analysis tasks. The repository makes it easier to explore Earth Engine’s large geospatial data catalog, interactively display map layers, and generate visual insights without the need for external GIS software by leveraging interactive widgets and mapping libraries. ...
