Search Results for "machine learning python" - Page 50
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Showing 2925 open source projects for "machine learning python"
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PyTextRank
Python implementation of TextRank algorithms
PyTextRank is a Python implementation of TextRank as a spaCy pipeline extension, for graph-based natural language work -- and related knowledge graph practices. -
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airda
airda(Air Data Agent
airda(Air Data Agent) is a multi-smart body for data analysis, capable of understanding data development and data analysis needs, understanding data, generating data-oriented queries, data visualization, machine learning and other tasks of SQL and Python codes. -
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DataPrep
Python-based data preprocessing tool
DataPrep v0.2 is a Tkinter-based GUI application/tool designed to assist users in data preprocessing, multicollinearity removal, and feature selection for a wide range of applications in Cheminformatics, Bioinformatics, Data Analysis, Feature Selection, Molecular Modeling, Machine Learning, and Quantitative-structure-property relationship (QSPR) studies. It includes functionality to load, process, and save datasets with support for different preprocessing & multicollinearity removal strategies with customizable parameter setting options. -
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OneFlow
OneFlow is a deep learning framework designed to be user-friendly
...It adheres to the core concept and architecture of static compilation and streaming parallelism and solves the memory wall challenge at the cluster level. world-leading level. Provides a variety of services from primary AI talent training to enterprise-level machine learning lifecycle integrated management (MLOps), including AI training and AI development, and supports three deployment modes of public cloud, private cloud and hybrid cloud. -
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Fondant
Production-ready data processing made easy and shareable
Fondant is a modular, pipeline-based framework designed to simplify the preparation of large-scale datasets for training machine learning models, especially foundation models. It offers an end-to-end system for ingesting raw data, applying transformations, filtering, and formatting outputs—all while remaining scalable and traceable. Fondant is designed with reproducibility in mind and supports containerized steps using Docker, making it easy to share and reuse data processing components. ... -
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AMBIT:Chemical Structure DB&Web Service
Chemical structures database & machine learning with web services API
AMBIT offers a cheminformatics data management for chemical substances, structures and nanomaterials. Flexible structure, similarity and study queries storage, descriptor calculation and predictive models building via REST web services.User interface for creating read across assessment and generating reports, aligned with regulatory and industrial requirements. Command line applications also available. Integration with third party tools and databases. -
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realtime-datalake
Realtime-Datalake: Real-time data ingestion, storage, and analysis.
...It enables efficient processing across multiple sources and supports scalable storage solutions. The platform can be deployed as a standalone server or in the cloud, providing flexibility and ease of setup without requiring prior data engineering or machine learning skills. With a customizable React-based UI and a Python-powered backend, it allows easy management and analysis of large data volumes. Suitable for applications like business intelligence, predictive analytics, and IoT data handling, Realtime-Datalake provides performance and scalability for real-time data processing and integration. ... -
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Make-A-Video - Pytorch (wip)
Implementation of Make-A-Video, new SOTA text to video generator
Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch. They combine pseudo-3d convolutions (axial convolutions) and temporal attention and show much better temporal fusion. The pseudo-3d convolutions isn't a new concept. It has been explored before in other contexts, say for protein contact prediction as "dimensional hybrid residual networks". The gist of the paper comes down to, take a SOTA text-to-image model (here they use DALL-E2, but the same learning... -
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Face Recognition Software to compare 2 pictures of person to make sure that he/she is the same person. Using deepface library at python. Requirement. • Java •Python •Library Deepface from Python How to use? - Input the picture 1/Gambar 1 - Input the picture 2/Gambar 2 - Click Analyze and then the machine Will process compare the face. - The result will be given note: orang_sama = same person Orang_berbeda = different person
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Serpent is a real-time scripting language inspired by Python but completely reimplemented to support real-time garbage collection and multiple instances of the virtual machines running on independent threads.
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eduActiv8
A collection of interactive educational exercises
eduActiv8 is a free Open Source multi-platform educational application that aims to assist in learning various early education topics - from learning the alphabet and new words, colours, time to a wide range of maths-related subjects. eduActiv8 is a continuation of the development of the pySioGame project just under a new name. It is being developed on GitHub at: https://github.com/imiolek-ireneusz/eduActiv8 but 'compiled' releases are published here. The latest version has been... -
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ChemCrow
Chemcrow
ChemCrow is an AI-powered framework designed to assist in chemical research and discovery. It integrates AI models with chemical knowledge bases to provide intelligent recommendations for synthesis planning, reaction prediction, and material discovery. This tool helps automate and accelerate research in computational chemistry and drug development. -
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Python Zero to Hero for DevOps Engineers
Learn Python from DevOps Engineer point of you
Python Zero to Hero for DevOps Engineers is a structured “Python Zero to Hero for DevOps Engineers” course laid out as a day-by-day learning path. The repository is organized into Day-01 through Day-19 folders plus a small sample app, which makes it very easy to follow in sequence like a bootcamp. The curriculum starts with Python installation, environment setup, and writing your first script, then quickly moves into data types, strings, regular expressions, variables, and functions. ... -
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stkpp
C++ Statistical ToolKit
STK++ (http://www.stkpp.org) is a versatile, fast, reliable and elegant collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. Some functionalities provided by the library are available in the R environment as R functions (http://cran.at.r-project.org/web/packages/rtkore/index.html). At a convenience, we propose the source packages on sourceforge. The library offers a dense set of (mostly) template... -
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oxiida
A DSL for scientific workflow construction.
...It is opinioned on focusing at running scientific workflows in a high-throughput manner. - `oxiida` supports construct and run tasks/jobs with different timespan from seconds to months. - `oxiida` supports run tasks/jobs on local machine, cloud or HPC. - `oxiida` has native support for Workflow Definition Language (WDL). - `oxiida` as a language can embed into Python, Julia and Lua to powerup and standard your current workflow setup. -
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Suricata Anti-DDoS Lab
Suricata VMware VM dor IDS practicing
Suricata Anti-DDoS Security Lab (Debian 13 VMware Virtual Machine): Preconfigured VMware virtual machine for educational network security monitoring and intrusion detection using Suricata. Designed for hands-on IDS and SOC-style training in a controlled lab environment. Includes the following integrated services: + Suricata – network intrusion detection and traffic inspection + EveBox – alert visualisation and event analysis + DVWA – vulnerable web application for traffic generation and testing + phpMyAdmin – database management and inspection Default setup demonstrates DDoS-related detection scenarios, but the lab is fully customisable for other network-based attacks. ... -
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NZMATH
Python Calculator on Number Theory, three-birds-one learning material
NZMATH is a Python calculator on number theory. It is freely available and distributed under the BSD license. All programs are written only by Python so that you can easily see their algorithmic number theory. You can get NZMATH with a single command: % python -m pip install -U nzmath Here % is the command line prompt of Windows or Unix/macOS. -
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Transformers in Time Series
A professionally curated list of awesome resources
Transformers in Time Series is a curated research repository that collects academic papers, code implementations, datasets, and learning resources related to transformer models for time series analysis. The project was created to systematically organize the rapidly growing research field that applies transformer architectures to time series modeling tasks. It compiles literature from major conferences and journals and categorizes them by application domains such as forecasting, anomaly... -
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Flashcard App
This is an app that will help you learn and prosper in any subject!
A lightweight but effective Flashcard based learning app to study and memorize using a reward system, built using python and the customtkinter library. Here you can create flashcards and quiz yourself on any topic you like, save the flashcards for later use or simply import one with the correct format. Give yourself hints, earn points and have fun! Play quiz with your friends see who gets the most points. -
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OpenPiano — Virtual Piano for Windows
Desktop piano playable with a PC keyboard, mouse, or MIDI device.
OpenPiano is a Windows desktop piano application that allows you to play, practice, and record music using your PC keyboard, mouse, or a MIDI device. It supports real-time playback using SoundFonts and provides on-screen piano layouts for visual feedback while playing. OpenPiano is designed to run entirely locally. It does not require accounts, cloud services, or an internet connection for core functionality. Project links: Website:... -
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TensorFlow Hub
A library for transfer learning by reusing parts of TensorFlow models
...These models can be loaded directly into TensorFlow pipelines and fine-tuned for new tasks using transfer learning techniques. The repository supports contributions from the community, allowing developers to submit models that become available for use by other machine learning practitioners. By enabling reusable model modules, TensorFlow Hub significantly reduces development time and computational cost when building machine learning systems. -
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Personal Budget Tracker
Personal Budget Tracker — Simple Expense Logger
Personal Budget Tracker is a minimal yet functional CLI tool to help users manage their income and expenses. It supports categorization, listing, and CSV export. Great for learning Python or organizing your personal finances. -
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GASCAP
GASCAP can evaluate adsorption in high-throughput way
...The pseudoatom and graph Voronoi diagram method are used to figure out the unequal adsorption sites from any substrates, then the coadsorption structure can be built between substrates and any adsorbates in high-throughput way. The universal machine learning interatomic potentials are used to accelerate the adsorption energy calculations, and the postprocessing toolkits contain the functions of analyzing adsorption energy, calculating work function and charge transfer. -------------------------------- Install Method -------------------------------- set environment variable in Linux system: export PATH=/public/home/yiwc/software/GASCAP/v0.6/GASCAP-v0.6:$PATH if there is any incompatibility problem, please fix them with: .... -
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Waifu2x-Extension-GUI
Photo/Video/GIF enlargement using machine learning
Image & GIF & Video Super-Resolution using Deep Convolutional Neural Networks. Built-in image processing algorithm: Waifu2x / SRMD / RealSR / Anime4K / ACNet Built-in image processing engine: Waifu2x-caffe / Waifu2x-converter / Waifu2x-ncnn-vulkan / SRMD-ncnn-vulkan / RealSR-ncnn-vulkan / Anime4KCPP Github: https://github.com/AaronFeng753/Waifu2x-Extension-GUI -
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minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm
minbpe is a minimal, clean implementation of byte-level Byte Pair Encoding (BPE), the tokenization approach widely used in modern language models. It operates on UTF-8 encoded bytes rather than Unicode characters, which makes it robust to arbitrary text inputs and avoids needing a language-specific character vocabulary. The repository is structured as a teaching-oriented implementation that shows how to train a tokenizer by learning merge rules, then apply those merges to encode text into...
