Search Results for "ml" - Page 7
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Showing 469 open source projects for "ml"
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Accounting Software for Small Businesses | XeroXero offers a robust ecosystem of connected apps and integrations with banks and financial institutions, enabling small businesses to access a wide range of solutions within Xero's open platform to streamline operations and manage finances. Additionally, accounting and bookkeeping firms benefit from efficient compliance tools, advanced practice management software, and a cloud-based unified accounting ledger for all clients, centralized in one place.
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json-scada
A portable SCADA/IoT platform centered on the MongoDB database server.
Standard IT tools applied to SCADA/IoT (MongoDB, PostgreSQL/TimescaleDB,Node.js, C#, Golang, Grafana, etc.). MongoDB as the real-time core database, persistence layer, config store, SOE historian. Portability and interoperability over Linux, Windows, x86/64, ARM. Horizontal scalability, from a single computer to big clusters (MongoDB-sharding), Bare Metal, Docker containers, VM, cloud, or hybrid deployments. Unlimited tags, servers, and users. HTML5 Web interface. UTF-8/I18N. Protocols:... -
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Datapipe
Real-time, incremental ETL library for ML with record-level depend
Datapipe is a real-time, incremental ETL library for Python with record-level dependency tracking. Datapipe is designed to streamline the creation of data processing pipelines. It excels in scenarios where data is continuously changing, requiring pipelines to adapt and process only the modified data efficiently. This library tracks dependencies for each record in the pipeline, ensuring minimal and efficient data processing. -
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synstim
A Java-based real-time controllable audio generator for estim
***NOTE*** Received reports of false positive Trojan:Script/Wacatac.B!ml by MS Defender when running JAR file. I've re-written to remove problematic JApplet class I was implementing which I suspect was causing the issue. Please report any further issues of false positives. -
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Meshwork Analysis terminal
Quantitative analytical Finance Terminal
MWA Finance Terminal allows users to research and obtain data about various financial instruments and allows them to perform Statistical analysis with Various ML Technologies. It's divided into Modules and Options within them. -
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Mercenary Mood
A kitchen sink KoLmafia mood script
A mood script for KoLmafia which handles all kinds of stuff, but most importantly setting choiceAdventures on the fly, maintaining helpful buffs (combat rate modifiers, initiative, and +ML), and maintaining exclusive path-specific buffs (choosing the best sphere in Jarlsberg or the best Walk in AoWoL, for instance). -
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Lots of small projects: games, VST plugins, experimental IRC server, ROM hacking tools, net tools, font tools, html tools, etc. Browse CVS!
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aphasia is an advanced scripting language for the web. It features a type-safe core, C++ modules with signatures, an optimizing "compiler", higher-order functions, built-in database support, garbage collection, and more.
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Plum Harbor
An open-source file sharing app built using Next.js and Perplexity.
An open-source file sharing app built using Next.js and Perplexity. The app employs ML-KEM-1024, ChaCha20, Serpent-256, and HMAC-SHA512 to ensure data confidentiality and integrity. The app is also equipped with a dedicated password vault. Check it out at https://plum-harbor.netlify.app/ GitHub page: https://github.com/Northstrix/plum-harbor Codeberg page: https://codeberg.org/Northstrix/plum-harbor The app is available in English and Hebrew. German version is available here... -
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Lumi-HSP
This is an AI language model that can predict Heart failure or stroke
Using thsi AI model, you can predict the chances of heart stroke and heart failure. HIGLIGHTS : 1. Accuracy of this model is 95% 2. This model uses the powerful Machine Learning algorithm "GradientBoosting" for predicting the outcomes. 3. An easy to use model and accessible to everyone. -
Manage printing in a cost-efficient and eco-friendly way with Gelato.The world's largest print on demand network with 140+ production partners across 32 countries. Gelato offers end-to-end design, production and logistics for individuals looking to start their own business today!
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Plum Harbor Deutsch
German version of the "Plum Harbor" file sharing app.
Eine experimentelle Dateifreigabe App, die mit Next.js und Perplexity entwickelt wurde und es den Nutzern ermöglicht, Dateien einfach zu teilen, zu empfangen, zu senden und erneut zu senden. Die App verwendet ML-KEM-1024, ChaCha20, Serpent-256 und HMAC-SHA512, um die Vertraulichkeit und Integrität der Daten zu gewährleisten. Außerdem ist die App mit einem speziellen Passwortspeicher ausgestattet. Schau es dir an unter: https://plum-harbor-deutsch.netlify.app/ GitHub: https://github.com... -
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Blankly
Easily build, backtest and deploy your algo in just a few lines
Blankly is a live trading engine, backtest runner and development framework wrapped into one powerful open-source package. Models can be instantly backtested, paper traded, sandbox tested and run live by simply changing a single line. We built blankly for every type of quant including training & running ML models in the same environment, cross-exchange/cross-symbol arbitrage, and even long/short positions on stocks (all with built-in WebSockets). Blankly is the first framework to enable... -
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ModelFox
ModelFox makes it easy to train, deploy, and monitor ML models
ModelFox makes it easy to train, deploy, and monitor machine learning models. Train a model from a CSV file on the command line. Make predictions from Elixir, Go, JavaScript, PHP, Python, Ruby, or Rust. Learn about your models and monitor them in production from your browser. ModelFox makes it easy to train, deploy, and monitor machine learning models. You can install the modelfox CLI by either downloading the binary from the latest GitHub release or by building from source. Train a machine... -
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Guild AI
Experiment tracking, ML developer tools
Guild AI is an open-source experiment tracking toolkit designed to bring systematic control to machine learning workflows, enabling users to build better models faster. It automatically captures every detail of training runs as unique experiments, facilitating comprehensive tracking and analysis. Users can compare and analyze runs to deepen their understanding and incrementally improve models. Guild AI simplifies hyperparameter tuning by applying state-of-the-art algorithms through... -
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m2cgen
Transform ML models into a native code
m2cgen (Model 2 Code Generator) - is a lightweight library that provides an easy way to transpile trained statistical models into a native code (Python, C, Java, Go, JavaScript, Visual Basic, C#, PowerShell, R, PHP, Dart, Haskell, Ruby, F#, Rust, Elixir). Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies. Some models force input data to be particular type during prediction phase... -
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Texar-PyTorch
Integrating the Best of TF into PyTorch, for Machine Learning
Texar-PyTorch is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides a library of easy-to-use ML modules and functionalities for composing whatever models and algorithms. The tool is designed for both researchers and practitioners for fast prototyping and experimentation. Texar-PyTorch was originally developed and is actively contributed by Petuum and CMU in collaboration with other institutes. A mirror... -
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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) perfectly... -
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nussknacker
Real-time actions on data. A building block for low-code applications
Real-time actions on data. A building block for low-code real-time applications with event streaming and request-response capabilities. Nussknacker is a low-code visual tool for domain experts to define and run real-time decisioning algorithms instead of implementing them in the code. It serves where real-time actions on data have to be made: real-time marketing, fraud detection, Internet of Things, Customer 360, and Machine Learning inferring. An essential part of Nussknacker is a... -
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Discuz!ML
Multilingual social network engine
WARNING: The project is moved to https://github.com/codersclub/Discuz.ML Discuz!ML is a multilingual open-source engine for build your own community like forum and social network. Based on the well-known Discuz!X engine by Tencent Cloud (used to be Comsenz Inc.). -
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mlcourse.ai
Open Machine Learning Course
mlcourse.ai is an open Machine Learning course by OpenDataScience (ods.ai), led by Yury Kashnitsky (yorko). Having both a Ph.D. degree in applied math and a Kaggle Competitions Master tier, Yury aimed at designing an ML course with a perfect balance between theory and practice. Thus, the course meets you with math formulae in lectures, and a lot of practice in a form of assignments and Kaggle Inclass competitions. Currently, the course is in a self-paced mode. Here we guide you through the self... -
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AWS Step Functions Data Science SDK
For building machine learning (ML) workflows and pipelines on AWS
The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related... -
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ML for Trading
Code for machine learning for algorithmic trading, 2nd edition
On over 800 pages, this revised and expanded 2nd edition demonstrates how ML can add value to algorithmic trading through a broad range of applications. Organized in four parts and 24 chapters, it covers the end-to-end workflow from data sourcing and model development to strategy backtesting and evaluation. Covers key aspects of data sourcing, financial feature engineering, and portfolio management. The design and evaluation of long-short strategies based on a broad range of ML algorithms, how... -
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Emlog ML
Multilingual PHP blog engine
WARNING: The project is moved to https://github.com/codersclub/emlog.ml Emlog is a powerful blog and website building CMS based on PHP and MySQL. Committed to providing you with fast, stable, and extremely simple and comfortable use of content creation and site construction service. -
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igel
Machine learning tool that allows you to train and test models
A delightful machine learning tool that allows you to train/fit, test, and use models without writing code. The goal of the project is to provide machine learning for everyone, both technical and non-technical users. I sometimes needed a tool sometimes, which I could use to fast create a machine learning prototype. Whether to build some proof of concept, create a fast draft model to prove a point or use auto ML. I find myself often stuck writing boilerplate code and thinking too much about...