Search Results for "learning language"
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Showing 28 open source projects for "learning language"
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The Julia Programming Language
High-level, high-performance dynamic language for technical computing
Julia is a fast, open source high-performance dynamic language for technical computing. It can be used for data visualization and plotting, deep learning, machine learning, scientific computing, parallel computing and so much more. Having a high level syntax, Julia is easy to use for programmers of every level and background. Julia has more than 2,800 community-registered packages including various mathematical libraries, data manipulation tools, and packages for general purpose computing. ... -
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BetaML.jl
Beta Machine Learning Toolkit
The Beta Machine Learning Toolkit is a package including many algorithms and utilities to implement machine learning workflows in Julia, Python, R and any other language with a Julia binding. All models are implemented entirely in Julia and are hosted in the repository itself (i.e. they are not wrapper to third-party models). If your favorite option or model is missing, you can try to implement it yourself and open a pull request to share it (see the section Contribute below) or request its implementation. ... -
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Diffgram
Training data (data labeling, annotation, workflow) for all data types
...Training Data is the art of supervising machines through data. This includes the activities of annotation, which produces structured data; ready to be consumed by a machine learning model. Annotation is required because raw media is considered to be unstructured and not usable without it. That’s why training data is required for many modern machine learning use cases including computer vision, natural language processing and speech recognition. -
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Awesome Fraud Detection Research Papers
A curated list of data mining papers about fraud detection
A curated list of data mining papers about fraud detection from several conferences. -
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AI Data Science Team
An AI-powered data science team of agents
AI Data Science Team is a Python library and agent ecosystem designed to accelerate and automate common data science workflows by modeling them as specialized AI “agents” that can be orchestrated to perform tasks like data cleaning, transformation, analysis, visualization, and machine learning. It provides a modular agent framework where each agent focuses on a step in the typical data science pipeline — for example, loading data from CSV/Excel files, cleaning and wrangling messy datasets, engineering predictive features, building models with AutoML, connecting to SQL databases, and producing visual outputs — all driven by natural language or programmatic instructions. ... -
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Elasticsearch
A Distributed RESTful Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types. -
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JUDI.jl
Julia Devito inversion
...The focus of the package lies on seismic modeling as well as PDE-constrained optimization such as full-waveform inversion (FWI) and imaging (LS-RTM). Wave equations in JUDI are solved with Devito, a Python domain-specific language for automated finite-difference (FD) computations. JUDI's modeling operators can also be used as layers in (convolutional) neural networks to implement physics-augmented deep learning algorithms thanks to its implementation of ChainRules's rrule for the linear operators representing the discre wave equation. -
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ReverseDiff
Reverse Mode Automatic Differentiation for Julia
ReverseDiff is a fast and compile-able tape-based reverse mode automatic differentiation (AD) that implements methods to take gradients, Jacobians, Hessians, and higher-order derivatives of native Julia functions (or any callable object, really). While performance can vary depending on the functions you evaluate, the algorithms implemented by ReverseDiff generally outperform non-AD algorithms in both speed and accuracy. -
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SciML Style Guide for Julia
A style guide for stylish Julia developers
The SciML Style Guide is a style guide for the Julia programming language. It is used by the SciML Open Source Scientific Machine Learning Organization. As such, it is open to discussion with the community. If the standard for code contributions is that every PR needs to support every possible input type that anyone can think of, the barrier would be too high for newcomers. Instead, the principle is to be as correct as possible to begin with, and grow the generic support over time. ... -
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Catalyst.jl
Chemical reaction network and systems biology interface
...Generated models can be used with solvers throughout the broader SciML ecosystem, including higher-level SciML packages (e.g. for sensitivity analysis, parameter estimation, machine learning applications, etc). -
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NZMATH
Python Calculator on Number Theory, three-birds-one learning material
...This release contains several program corrections and additions obtained by writing a programming "notebook" of the book 'Lectures on Elementary Number Theory' (TAKAGI, Teiji) in Python-NZMATH language. The "notebook" is available together. It is designed for beginning students of algorithmic number theory to self-study Number Theory, Programming and scientific English together, three-birds-one learning material. It is possible only by running and reading the programs. You can get the notebook here: https://sourceforge.net/projects/nzmath/files/nzmath-enttakagi/ Visit our home page in detail: https://nzmath.sourceforge.io/ -
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Excel to Graphviz
Free Excel tool to easily create Graphviz data visualizations.
The Excel to Graphviz Relationship Visualizer spreadsheet transforms your Excel data into professional Graphviz diagrams. Enter simple "A is related to B" rows to instantly generate polished relationship graphs using the Graphviz DOT language. Ideal for data analysis, network visualization, and IT architecture. Free, open-source, MIT-licensed. Customize the look of nodes, edges, and clusters with the Style Designer. Build a CSS-like gallery of reusable styles that lets you apply... -
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Hotstrings
automatic text replacement tool
Microsoft Windows only. Example: you can define text replacement definition which after entering btw/ will automatically replace this string into by the way. Yes, you can define longer replacement text or even one triggerstring can trigger up to 7 versions of text replacements. Added value (💲💲💲): • operating system wide action: no matter in which editable window your cursor is placed, text replacement will work! • this function is similar to "AutoCorrect" function (Microsoft... -
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Easy Database Forms For All
Create Web Based Forms Quickly, With In-built DB, For All Your Teams
Please watch the video till 18m:00s / screenshots below for easy installation steps. This video is taken from my other project, with many similarities and some naming differences. After installation, login to the Administrator Page with : Username : root Password : change_this and look at the team1 database and the sample_table in it, from all aspects. You can now create your own tables/forms. Also, login into the team1 user page ( from homepage ) with : Username : team1... -
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Algorithm Visualizer
Interactive Online Platform that Visualizes Algorithms from Code
...The README explains each example, lists required environment variables or credentials (e.g., Twilio/Gmail where applicable), and gives cron examples so readers can run the scripts in a real environment. The project is intentionally informal and educational: it’s meant for experimentation, learning language-interop, and having fun rather than production-grade automation. Many implementations exist across languages (shell, Ruby, Python, Node, PowerShell, Go, Java, and more) and contributors are encouraged to add further -
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Deep Learning with PyTorch
Latest techniques in deep learning and representation learning
This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition. The prerequisites include DS-GA 1001 Intro to Data Science or a graduate-level machine learning course. -
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TEXT2DATA
Text Analytics Platform
Bring Text Analytics Platform that uses NLP (Natural Language Processing) and Machine Learning to your work environment. Extract essential information from your text documents and let Artificial Intelligence save your time. Get detailed and agile reports on your unstructured data. -
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AI learning
AiLearning, data analysis plus machine learning practice
We actively respond to the Research Open Source Initiative (DOCX) . Open source today is not just open source, but datasets, models, tutorials, and experimental records. We are also exploring other categories of open source solutions and protocols. I hope you will understand this initiative, combine this initiative with your own interests, and do what you can. Everyone's tiny contributions, together, are the entire open source ecosystem. We are iBooker, a large open-source community,... -
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Multiprecision Calculator
Calculator
The calculator of big numbers This program was created for basic arithmetic operations with signed integer numbers. Each number represents the following data structure: array of 1024 unsigned integer numbers (digits), the number of significant digits, the radix (from 2 to 36 inclusive) and the sign of this number (-1 or 1). The program is written in C language and has Russian interface. -
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PROPER is a package for visual evaluation of ranking classifiers for biological big data mining studies in the mathematical language MATLAB. It is an efficient tool for optimization and comparison of the state-of-the-art ranking classifiers by generating over 20 different high quality two- and three-dimensional performance curves.
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neural network designer
a dbms for neural nets. Chatbots, DTrees, random forests, n-grams,...
This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer,... -
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TaxRTip
TaxRTip is a small program designed to help calculate taxes or tips.
TaxRTip is designed as an exploration of the C# language by a novice programmer. It may be very simple and have a very small use factor, but it is designed for learning purposes. The code is fully commented internally. -
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Nero JCalculator
Simple Java calculator made by Nero using Java programming language.
This project is for learning purpose, it's about developing a calculator using Java, at last, I want to release it for free with nice GUI and these stuffs. -
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Gri is a language for scientific graphics programming. It is script-based, not GUI-based. Some users view it as a sort of LaTeX for scientific graphics. Users who climb a slight learning curve are rewarded with considerable aesthetic power.
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Sanchay is a collection of tools and APIs for language researchers. It has some implementations of NLP algorithms, some flexible APIs, several user friendly annotation interfaces and Sanchay Query Language for language resources.
