Showing 121 open source projects for "ti89/page/2"

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  • Secure remote access solution to your private network, in the cloud or on-prem. Icon
    Secure remote access solution to your private network, in the cloud or on-prem.

    Deliver secure remote access with OpenVPN.

    OpenVPN is here to bring simple, flexible, and cost-effective secure remote access to companies of all sizes, regardless of where their resources are located.
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  • Ninox | The low-code platform for all business processes Icon
    Ninox | The low-code platform for all business processes

    With Ninox (SaaS), build business apps and databases as you want, including for CRM and ERP, without a single line of code (no-code/low-code).

    With Ninox you can store and organize your complex data in your own structured way. Ninox provides a highly customizable user interface which allows you to process, analyze and evaluate any kind of data. Furthermore you can integrate different services e.g. from Google with Ninox's API.
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  • 1
    StemRoller

    StemRoller

    Isolate vocals, drums, bass, and other instrumental stems from songs

    ... to the song - click that to access your stems! Using StemRoller couldn't be easier - just head to the StemRoller website or the releases page and download the latest version! That bundle includes everything you need to split stems.
    Downloads: 53 This Week
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  • 2
    Final2x

    Final2x

    2^x Image Super-Resolution

    The tool is available for Windows x64/arm64, MacOS x64/arm64, and Linux x64, allowing users to enjoy the benefits of super-resolution regardless of their operating system. It offers a wide range of models that can be used to achieve different levels of super-resolution, allowing users to choose the one that best suits their specific needs. Users have the flexibility to specify the desired output size for their images, ranging from small enhancements to large-scale super-resolution. The tool...
    Downloads: 32 This Week
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  • 3
    Lightning Flash

    Lightning Flash

    Flash enables you to easily configure and run complex AI recipes

    Your PyTorch AI Factory, Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains. In a nutshell, Flash is the production-grade research framework you always dreamed of but didn't have time to build. All data loading in Flash is performed via a from_* classmethod on a DataModule. Which DataModule to use and which from_* methods are available depends on the task you want to perform. For example, for image segmentation where your data is stored...
    Downloads: 3 This Week
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  • 4
    PostgresML

    PostgresML

    The GPU-powered AI application database

    PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization...
    Downloads: 2 This Week
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  • PRTG Network Monitor | Making the lives of sysadmins easier Icon
    PRTG Network Monitor | Making the lives of sysadmins easier

    Stay ahead of IT infrastructure issues

    PRTG Network Monitor is an all-inclusive monitoring software solution developed by Paessler. Equipped with an easy-to-use, intuitive interface with a cutting-edge monitoring engine, PRTG Network Monitor optimizes connections and workloads as well as reduces operational costs by avoiding outages while saving time and controlling service level agreements (SLAs). The solution is packed with specialized monitoring features that include flexible alerting, cluster failover solution, distributed monitoring, in-depth reporting, maps and dashboards, and more.
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  • 5
    ScrapeGraphAI

    ScrapeGraphAI

    Python scraper based on AI

    Extracting content from websites and local documents using LLM. ScrapeGraphAI is a web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.). Just say which information you want to extract and the library will do it for you.
    Downloads: 1 This Week
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  • 6
    Thinc

    Thinc

    A refreshing functional take on deep learning

    ..., configure and deploy custom models built with their favorite framework. Switch between PyTorch, TensorFlow and MXNet models without changing your application, or even create mutant hybrids using zero-copy array interchange. Develop faster and catch bugs sooner with sophisticated type checking. Trying to pass a 1-dimensional array into a model that expects two dimensions? That’s a type error. Your editor can pick it up as the code leaves your fingers.
    Downloads: 1 This Week
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  • 7
    satellite-image-deep-learning

    satellite-image-deep-learning

    Resources for deep learning with satellite & aerial imagery

    This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful please...
    Downloads: 1 This Week
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  • 8
    MagicMirror²

    MagicMirror²

    Modular smart mirror platform with a list of installable modules

    MagicMirror² is Open Source, free and maintained by a big group of enthusiasts. Got a nice idea? Send us a pull request and become a part of the big list of contributors. The core of MagicMirror² contains a strong API which allows 3rd party developers to build additional modules. Modules you can use. Modules you can develop. Read our extensive documentation to find out everything you want to know about the MagicMirror² project. The full API description allows you to build your own modules....
    Downloads: 1 This Week
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  • 9
    TensorFlow Addons

    TensorFlow Addons

    Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

    ... of the community). The maintainers of TensorFlow Addons can be found in the CODEOWNERS file of the repo. This file is parsed and pull requests will automatically tag the owners using a bot. If you would like to maintain something, please feel free to submit a PR. We encourage multiple owners for all submodules. TensorFlow Addons is actively working towards forward compatibility with TensorFlow 2.x.
    Downloads: 1 This Week
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  • AI-based, Comprehensive Service Management for Businesses and IT Providers Icon
    AI-based, Comprehensive Service Management for Businesses and IT Providers

    Modular solutions for change management, asset management and more

    ChangeGear provides IT staff with the functions required to manage everything from ticketing to incident, change and asset management and more. ChangeGear includes a virtual agent, self-service portals and AI-based features to support analyst and end user productivity.
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  • 10
    PumpkinBook

    PumpkinBook

    Machine Learning formula derivation and analysis

    ... program in the form of appendices and references. Interested students can Continue to learn in depth along the information we gave. For beginners who are new to machine learning, the formulas in Chapter 1 and Chapter 2 of Watermelon Book are strongly not recommended to go deep . You can simply go over it, and it will be too late to come back and chew when you learn a little.
    Downloads: 1 This Week
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  • 11
    MLJAR Studio

    MLJAR Studio

    Python package for AutoML on Tabular Data with Feature Engineering

    We are working on new way for visual programming. We developed a desktop application called MLJAR Studio. It is a notebook-based development environment with interactive code recipes and a managed Python environment. All running locally on your machine. We are waiting for your feedback. The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. It is designed to save time for a data scientist. It abstracts the common way to preprocess the data,...
    Downloads: 1 This Week
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  • 12
    fastai

    fastai

    Deep learning library

    ... of many deep learning and data processing techniques in terms of decoupled abstractions. These abstractions can be expressed concisely and clearly by leveraging the dynamism of the underlying Python language and the flexibility of the PyTorch library. fastai is organized around two main design goals: to be approachable and rapidly productive, while also being deeply hackable and configurable. It is built on top of a hierarchy of lower-level APIs which provide composable building blocks.
    Downloads: 0 This Week
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  • 13
    Linfa

    Linfa

    A Rust machine learning framework

    linfa aims to provide a comprehensive toolkit to build Machine Learning applications with Rust. Kin in spirit to Python's scikit-learn, it focuses on common preprocessing tasks and classical ML algorithms for your everyday ML tasks.
    Downloads: 0 This Week
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  • 14
    DataDrivenDiffEq.jl

    DataDrivenDiffEq.jl

    Data driven modeling and automated discovery of dynamical systems

    DataDrivenDiffEq.jl is a package for finding systems of equations automatically from a dataset. The methods in this package take in data and return the model which generated the data. A known model is not required as input. These methods can estimate equation-free and equation-based models for discrete, continuous differential equations or direct mappings.
    Downloads: 0 This Week
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  • 15
    ClearML

    ClearML

    Streamline your ML workflow

    ClearML is an open source platform that automates and simplifies developing and managing machine learning solutions for thousands of data science teams all over the world. It is designed as an end-to-end MLOps suite allowing you to focus on developing your ML code & automation, while ClearML ensures your work is reproducible and scalable. The ClearML Python Package for integrating ClearML into your existing scripts by adding just two lines of code, and optionally extending your experiments...
    Downloads: 0 This Week
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  • 16
    Elyra

    Elyra

    Elyra extends JupyterLab with an AI centric approach

    Elyra is a set of AI-centric extensions to JupyterLab Notebooks. The Elyra Getting Started Guide includes more details on these features. A version-specific summary of new features is located on the releases page.
    Downloads: 0 This Week
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  • 17
    dtreeviz

    dtreeviz

    Python library for decision tree visualization & model interpretation

    A python library for decision tree visualization and model interpretation. Decision trees are the fundamental building block of gradient boosting machines and Random Forests(tm), probably the two most popular machine learning models for structured data. Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. The visualizations are inspired by an educational animation by R2D3; A visual introduction to machine learning. Please see How...
    Downloads: 0 This Week
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  • 18
    pomegranate

    pomegranate

    Fast, flexible and easy to use probabilistic modelling in Python

    ... networks can be dropped into a mixture just as easily as a normal distribution, and hidden Markov models can be dropped into Bayes classifiers to make a classifier over sequences. Together, these two design choices enable a flexibility not seen in any other probabilistic modeling package.
    Downloads: 0 This Week
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  • 19
    Learning Interpretability Tool

    Learning Interpretability Tool

    Interactively analyze ML models to understand their behavior

    The Learning Interpretability Tool (LIT, formerly known as the Language Interpretability Tool) is a visual, interactive ML model-understanding tool that supports text, image, and tabular data. It can be run as a standalone server, or inside of notebook environments such as Colab, Jupyter, and Google Cloud Vertex AI notebooks.
    Downloads: 0 This Week
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  • 20
    Aim

    Aim

    An easy-to-use & supercharged open-source experiment tracker

    Aim logs all your AI metadata (experiments, prompts, etc) enabling a UI to compare & observe them and SDK to query them programmatically. The Aim standard package comes with all integrations. If you'd like to modify the integration and make it custom, create a new integration package and share with others. Aim is an open-source, self-hosted AI Metadata tracking tool designed to handle 100,000s of tracked metadata sequences. The two most famous AI metadata applications are: experiment tracking...
    Downloads: 0 This Week
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  • 21
    DoWhy

    DoWhy

    DoWhy is a Python library for causal inference

    ... structures, root cause analysis, interventions and counterfactuals. DoWhy builds on two of the most powerful frameworks for causal inference: graphical causal models and potential outcomes. For effect estimation, it uses graph-based criteria and do-calculus for modeling assumptions and identifying a non-parametric causal effect. For estimation, it switches to methods based primarily on potential outcomes.
    Downloads: 0 This Week
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  • 22
    Denoising Diffusion Probabilistic Model

    Denoising Diffusion Probabilistic Model

    Implementation of Denoising Diffusion Probabilistic Model in Pytorch

    Implementation of Denoising Diffusion Probabilistic Model in Pytorch. It is a new approach to generative modeling that may have the potential to rival GANs. It uses denoising score matching to estimate the gradient of the data distribution, followed by Langevin sampling to sample from the true distribution. If you simply want to pass in a folder name and the desired image dimensions, you can use the Trainer class to easily train a model.
    Downloads: 0 This Week
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  • 23
    Keras Attention Mechanism

    Keras Attention Mechanism

    Attention mechanism Implementation for Keras

    Many-to-one attention mechanism for Keras. We demonstrate that using attention yields a higher accuracy on the IMDB dataset. We consider two LSTM networks: one with this attention layer and the other one with a fully connected layer. Both have the same number of parameters for a fair comparison (250K). The attention is expected to be the highest after the delimiters. An overview of the training is shown below, where the top represents the attention map and the bottom the ground truth...
    Downloads: 0 This Week
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  • 24
    Haiku Sonnet for JAX

    Haiku Sonnet for JAX

    JAX-based neural network library

    Haiku is a library built on top of JAX designed to provide simple, composable abstractions for machine learning research. JAX is a numerical computing library that combines NumPy, automatic differentiation, and first-class GPU/TPU support. Haiku is a simple neural network library for JAX that enables users to use familiar object-oriented programming models while allowing full access to JAX's pure function transformations. Haiku provides two core tools: a module abstraction, hk.Module...
    Downloads: 0 This Week
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  • 25
    AutoMLPipeline.jl

    AutoMLPipeline.jl

    Package that makes it trivial to create and evaluate machine learning

    AutoMLPipeline (AMLP) is a package that makes it trivial to create complex ML pipeline structures using simple expressions. It leverages on the built-in macro programming features of Julia to symbolically process, and manipulate pipeline expressions and makes it easy to discover optimal structures for machine learning regression and classification. To illustrate, here is a pipeline expression and evaluation of a typical machine learning workflow that extracts numerical features (numf) for...
    Downloads: 0 This Week
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