Search Results for "machine learning python" - Page 92

Showing 2927 open source projects for "machine learning python"

View related business solutions
  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB 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.
    Start Free
  • 99.99% Uptime for MySQL and PostgreSQL Databases Icon
    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

    Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
    Try Free
  • 1

    MatQuantify

    An image processing tool

    ...We analysed 217 microscopy images of untreated metaphase cells, 172 images of metaphase cells transfected with small interfering RNAs targeting the luciferase gene (as a negative control), and 230 images of metaphase cells depleted of CHC. Using the quantified data, we trained 23 supervised machine learning classificatio
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    EEG Seizure Prediction

    EEG Seizure Prediction

    Seizure prediction from EEG data using machine learning

    The Kaggle-EEG project is a machine learning solution developed for seizure prediction from EEG data, achieving 3rd place in the Kaggle/University of Melbourne Seizure Prediction competition. The repository processes EEG data to predict seizures by training machine learning models, specifically using SVM (Support Vector Machine) and RUS Boosted Tree ensemble models.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    H2O-3

    H2O-3

    H2O is an Open Source, Distributed, Fast & Scalable Machine Learning

    H2O-3 is an open-source machine learning platform designed to build scalable and distributed machine learning models across large datasets. The system operates as an in-memory computing platform that allows data scientists to train models quickly using distributed resources. It supports many machine learning algorithms including generalized linear models, gradient boosting machines, deep learning networks, and ensemble techniques. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    Caffe

    Caffe

    A fast open framework for deep learning

    Caffe is an open source deep learning framework that’s focused on expression, speed and modularity. It’s got an expressive architecture that encourages application and innovation, and extensible code that’s great for active development. Caffe also offers great speed, capable of processing over 60M images per day with a single NVIDIA K40 GPU. It’s arguably one of the fastest convnet implementations around. Caffe is developed by the Berkeley AI Research (BAIR)/The Berkeley Vision and...
    Downloads: 2 This Week
    Last Update:
    See Project
  • Go from Code to Production URL in Seconds Icon
    Go from Code to Production URL in Seconds

    Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

    Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
    Try it free
  • 5
    DSTK - DataScience ToolKit

    DSTK - DataScience ToolKit

    DSTK - DataScience ToolKit for All of Us

    DSTK - DataScience ToolKit is an opensource free software for statistical analysis, data visualization, text analysis, and predictive analytics. Newer version and smaller file size can be found at: https://sourceforge.net/projects/dstk3/ It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. Of course you may specify...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Ezhil-Lang

    Ezhil-Lang

    தமிழில் கணினி மொழி

    எழில் - ஒரு தமிழ் நிரலாக்க மொழி; தமிழ் மாணவர்களுக்கு இது முதல்முறை கணி Ezhil is a Tamil script based programming language for children and teens in the K-12 grade schools. Ezhil enables learning imperative programming like BASIC or LOGO in Tamil language.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 7
    libfastknn

    libfastknn

    Fast C++ KNN classifier

    KNN Classifier library for C++, at background using armadillo. In k-NN classification, the output is a class membership. An object is classified by a majority vote of its neighbors, with the object being assigned to the class most common among its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of that single nearest neighbor.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    Swift AI

    Swift AI

    The Swift machine learning library

    Swift AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon. Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. We've created some example projects to demonstrate the...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    Scattertext 0.2.1

    Scattertext 0.2.1

    Beautiful visualizations of how language differs among document types

    A tool for finding distinguishing terms in corpora and displaying them in an interactive HTML scatter plot. Points corresponding to terms are selectively labeled so that they don't overlap with other labels or points.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Cut Data Warehouse Costs by 54% Icon
    Cut Data Warehouse Costs by 54%

    Easily migrate from Snowflake, Redshift, or Databricks with free tools.

    BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
    Try Free
  • 10
    Neural Photo Editor

    Neural Photo Editor

    A simple interface for editing natural photos

    Neural Photo Editor is an experimental machine learning application that demonstrates how generative neural networks can be used as an interactive photo editing tool. The project implements the system described in the research paper Neural Photo Editing with Introspective Adversarial Networks, which introduces a generative model capable of modifying images in semantically meaningful ways.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 11
    Grenade

    Grenade

    Deep Learning in Haskell

    Grenade is a composable, dependently typed, practical, and fast recurrent neural network library for concise and precise specifications of complex networks in Haskell. Because the types are so rich, there's no specific term level code required to construct this network; although it is of course possible and easy to construct and deconstruct the networks and layers explicitly oneself. Networks in Grenade can be thought of as a heterogeneous list of layers, where their type includes not only...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 12
    seq2seq

    seq2seq

    A general-purpose encoder-decoder framework for Tensorflow

    seq2seq is an early, influential TensorFlow reference implementation for sequence-to-sequence learning with attention, covering tasks like neural machine translation, summarization, and dialogue. It packaged encoders, decoders, attention mechanisms, and beam search into a modular training and inference framework. The codebase showcased best practices for batching, bucketing by sequence length, and handling variable-length sequences efficiently on GPUs.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 13

    SPAWNN

    SPatial Analysis With self-organizing Neural Networks

    The SPAWNN toolkit is an innovative toolkit for spatial analysis with self-organizing neural networks which is particularily useful for spatial analysis, visualization and geographical data mining. To run the toolkit, simply download and execute (double-click) the jar-file. Please cite: - Hagenauer, J., & Helbich, M. (2016). SPAWNN: A Toolkit for SPatial Analysis With Self-Organizing Neural Networks. Transactions in GIS, 20(5), 755-775. Other related publications: - Hagenauer, J....
    Downloads: 0 This Week
    Last Update:
    See Project
  • 14
    Python Machine Learning book

    Python Machine Learning book

    The book code repository and info resource

    ...This is not yet just another "this is how scikit-learn works" book. its aim is to explain how Machine Learning works, tell you everything you need to know in terms of best practices and caveats, and then we will learn how to put those concepts into action using NumPy, scikit-learn, Theano and so on. Many parts of this book will provide examples in scikit-learn, the most beautiful and practical machine learning library.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 15
    Neuro

    Neuro

    The Neuro crypto currency

    The Neuro NRO cryptocurrency is designed to support solutions of machine learning tasks, big data and neural networks. Neuro is a scientific-technical project uniting scientists, engineers and programmers inspired by the idea to build something big, kind and bright. From the first stages of work, we will be engaged in the development of new architectures and algorithms of neural networks. Someday we will undoubtedly enter the annual ImageNet Challenge contest to compete with such giants as GoogLeNet Inception and Microsoft ResNet. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 16
    mctc4bmi

    mctc4bmi

    Matrix and Tensor Completion for Background Model Initialization

    MCTC4BMI (Multimodal Compressed Sensing and Tensor Decomposition for Brain-Machine Interfaces) is a MATLAB toolbox designed to process and analyze EEG data. It applies compressed sensing and tensor decomposition techniques to improve brain-machine interface (BMI) performance.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 17
    node2vec

    node2vec

    Learn continuous vector embeddings for nodes in a graph using biased R

    ...The repository contains reference code accompanying the research paper node2vec: Scalable Feature Learning for Networks (KDD 2016). It allows researchers and practitioners to apply node2vec to various graph datasets and evaluate embedding quality on downstream tasks. By bridging ideas from graph theory and word embedding models, this project demonstrates how graph-based machine learning can be made efficient and flexible.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 18

    Microsoft-Azures-Basic-C--Pull

    This is a simple C# Program that uses Microsoft Azures pull

    This is a simple C# Program that uses Microsoft Azures. In the image you will find an example of a program I created using the script. It's very quick and easy to setup. I provide some screenshots and tips on where to place what where. After you have placed in your Microsoft Azures API Key and Postman Client and Body. You now be able to insert inputs via code like the example in my image(s).
    Downloads: 0 This Week
    Last Update:
    See Project
  • 19

    RDRPOSTagger

    A Rule-based Part-of-Speech and Morphological Tagging Toolkit

    RDRPOSTagger is a robust, easy-to-use and language-independent rule-based toolkit for Part-of-Speech (POS) and morphological tagging. RDRPOSTagger obtains fast performance in both learning and tagging process. RDRPOSTagger also achieves a very competitive accuracy in comparison to the state-of-the-art results. RDRPOSTagger now supports pre-trained POS and morphological tagging models for Bulgarian, Czech, Dutch, English, French, German, Hindi, Italian, Portuguese, Spanish, Swedish, Thai...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 20
    Tic Tac Toe (Autonomous) Dhaval Kadia

    Tic Tac Toe (Autonomous) Dhaval Kadia

    Experience AI ( Computer Plays with You ) !

    SmartPrediction-ENGINE inside Enhanced with Artificial Intelligence Based upon Game Theory Still This is in BETA Phase
    Downloads: 0 This Week
    Last Update:
    See Project
  • 21

    fantail-mlkit

    The fantail machine learning toolkit (Moved)

    Moved to https://github.com/quansun/fantail-ml
    Downloads: 0 This Week
    Last Update:
    See Project
  • 22
    Rodeo

    Rodeo

    A data science IDE for Python

    ...Rodeo makes it very easy for its users to explore what is created by them and also alongside allows the users to Inspect, interact, compare data frames, plots and even much more. It is an IDE that has been built especially for data science/Machine Learning in Python and you can also very simply think of it as a light weight alternative to the IPython Notebook.
    Downloads: 7 This Week
    Last Update:
    See Project
  • 23

    PADIC

    A multilingual Parallel Arabic DIalectal Corpus

    PADIC (Parallel Arabic DIalectal Corpus) is a multi-dialectal corpus built in the framework of the National Research Project "TORJMAN", led by Scientific and Technical Research Center for the Development of Arabic Language and funded by the Algerian Ministry of Higher Education and Scientific Research. PADIC is composed of 6 dialects: two Algerian dialects (Algiers and Annaba cities), Palestinian, Syrian, Tunisian, Moroccan) and MSA. Mourad Abbas Computational Linguistics Department,...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 24
    Projects-Solutions

    Projects-Solutions

    Links to others' solutions to Projects

    Projects-Solutions is a companion repository to Projects; while Projects contains the list of project ideas, Projects-Solutions links to solutions submitted by other users in multiple programming languages. It is effectively a community-driven gallery of implementations of the tasks defined in the “Projects” list, allowing learners to compare their solutions, study others’ code, and improve their approach. The repository aggregates links and resources rather than necessarily hosting all code...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 25
    Algorithms in Python

    Algorithms in Python

    Data Structures and Algorithms in Python

    Algorithms in Python is a collection of algorithm and data structure implementations (primarily in Python) meant to serve as both learning material and reference code for engineers. It includes code for graph algorithms, heap data structures, stacks, queues, and more — each implemented cleanly so learners can trace logic and adapt for their problems.
    Downloads: 0 This Week
    Last Update:
    See Project
Auth0 Logo