Search Results for "machine learning projects"
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Showing 15 open source projects for "machine learning projects"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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TikZ
TikZ figures for concepts in physics/chemistry/ML
Collection of 111 standalone TikZ figures for illustrating concepts in physics, chemistry, and machine learning. Check out janosh.github.io to search, sort, open in Overleaf, and download figures (PDF/SVG/PNG) from this collection. -
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Pandas Profiling
Create HTML profiling reports from pandas DataFrame objects
pandas-profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik). Most common categories (uppercase, lowercase,... -
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dasel
Select, put and delete data from JSON, TOML, YAML, XML and CSV files
...Uses a standard query/selector syntax across all data formats. Zero runtime dependencies. Available on Linux, Mac and Windows. Available to import and use in your own projects. Run via Docker. -
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Manfred Awesomic CV
Manfred Awesomic CV
...There are A LOT of CV formats, and some of them are a nice try to define a universal CV format, but we think that a CV should include not only what candidates are or know but also what they are interested in and what they want to become. Like most open-source projects, the first use case was found in the company where the first contributors worked. Manfred is committed to the idea that every person should keep control over their personal and professional data. This means that they should be able to export their data from any platform in a machine-readable format with a Model Definition to process that data efficiently. ... -
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Open Source with Pradumna
Resources and materials to get yourself started with open source
Open Source guide, contains resources and materials to learn and get yourself started with Open Source, Git, and GitHub. Building the repo you need to get started with Open Source. This repo contains resources and materials to learn and get yourself started with Open Source, Git and GitHub. The repo content is divided into several Pages for better structuring, easy navigation and making learning easier. Contains 15 days of Twitter threads and blogs that I posted during the Bootcamp. Contains... -
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Bootstrap Native
If you are looking for Bootstrap without jQuery, this is it.
...We launched the project back in 2015 with the goal of debunking the "write less do more" myth, meanwhile the Bootstrap developers themselves have decided to drop jQuery, however, we decided to keep maintaining the project for its many benefits and the learning experience. If you mainly use Bootstrap plugins for your projects, why not use a much lighter, potentially faster library, see a different perspective on the same challenges, interact with a less crowded community, and get a better chance to learn or say hi! The Alert component covers the specific original events and public methods, but just like the original plugin, does not provide any initialization option. -
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Crossbeam
Tools for concurrent programming in Rust
...We also have the RFCs repository for more high-level discussion, which is the place where we brainstorm ideas and propose substantial changes to Crossbeam. If you'd like to learn more about concurrency and non-blocking data structures, there's a list of learning resources in our wiki, which includes relevant blog posts, papers, videos, and other similar projects. The Crossbeam project adheres to the Rust Code of Conduct. This describes the minimum behavior expected from all contributors. -
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JSON5
JSON5 — JSON for Humans
JSON5 is an extension to the popular JSON file format that aims to be easier to write and maintain by hand (e.g. for config files). It is not intended to be used for machine-to-machine communication. JSON5 was started in 2012, and as of 2022, now gets >65M downloads/week, ranks in the top 0.1% of the most depended-upon packages on npm, and has been adopted by major projects like Chromium, Next.js, Babel, Retool, WebStorm, and more. It's also natively supported on Apple platforms like MacOS and iOS. ... -
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wersicx2datencassette
wersicx2datencassette: tools for Wersi CX2 Datencassette
wersicx2datencassette: tools for the Wersi CX2 data cassette format Included tools: * wersicx2cassdecode: decode Wersi CX2 Datencassette * wersicx2cassencode: encode Wersi CX2 Datencassette * wersicx2binparse: parse Wersi CX2 binary dump file Note: Tools for the Wersi data cassette format for organs of the Wersi DX-series (with CX3, CX3S, CX4) and the Wersi CX5 drum machine can be found here: https://sourceforge.net/projects/wersidatencassette/ Copyright (c) 2017-2019 by Klaus Michael Indlekofer. All rights reserved. Note: Special restrictions apply. See disclaimers below and within the distribution. (We are not affiliated in any way with companies/persons mentioned above. All brand names and trademarks are property of their respective owners.) -
MongoDB Atlas runs apps anywhereMongoDB 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.
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unfluff
Automatically extract body content (and other cool stuff) from HTML
unfluff is a Node.js library designed to automatically extract the main content from an HTML document — stripping away navigation bars, ads, footers and other boilerplate to leave you with the “body content”, metadata (title, author, date) and other useful fields. It’s a tool very much aimed at content-analysis, web scraping, building datasets, or repurposing article text for downstream processing (like machine-learning or summarization). The API is simple: you feed in raw HTML and it returns a structured object with the extracted text and other fields. It supports caching internal representations to speed up repeated extractions. While its language support is best for English, it is still widely used in web-content-processing pipelines. ... -
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DeepLearningProject
An in-depth machine learning tutorial
This tutorial tries to do what most Most Machine Learning tutorials available online do not. It is not a 30 minute tutorial that teaches you how to "Train your own neural network" or "Learn deep learning in under 30 minutes". It's a full pipeline which you would need to do if you actually work with machine learning - introducing you to all the parts, and all the implementation decisions and details that need to be made. -
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LPCforSOS is a machine learning framework with a special focus on structured output spaces and pairwise learning. It supports currently multiclass, ordinal, hierarchical, multi-label and label ranking classification settings.
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The aim of ALIVE is to develop new approaches to the engineering of flexible, adaptable distributed service-oriented systems based on the adaptation of social coordination and organisation mechanisms.
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SAIM allows to interlink knowledge bases in the Semantic Web. It focuses on instance matching of very large knowledge bases available as SPARQL endpoints. SAIM uses machine learning techniques and is compatible with SILK.
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Blunder is an automated tool for analyzing chained exceptions in Java. It's usefull for classify, generate a customized error message and a list for possible solutions.
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