Search Results for "diving"
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Showing 29 open source projects for "diving"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Tally
Let agents classify your bank transactions
...While it’s tailored toward developers and advanced users, it also includes an interactive command-line experience for initializing budgets, generating charts, and diving deep into spending patterns. -
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edge-tts
Use Microsoft Edge's online text-to-speech service from Python
...It also supports generating subtitle files (such as SRT or VTT) alongside the speech, which is handy for video narration, e-learning, or accessibility workflows. From the CLI you can adjust parameters such as speaking rate, volume, and pitch, giving you some control over prosody without diving into SSML. The library is asynchronous under the hood, which makes it efficient for batch jobs or web services that need to synthesize many utterances concurrently. -
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ML for Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
...Organized as a multi-week course, it mixes short lectures with labs in notebooks so learners practice regression, classification, clustering, and recommendation techniques on real datasets. Each lesson aims to connect the algorithm to a relatable scenario, reinforcing intuition before diving into parameters, metrics, and trade-offs. The repository includes quizzes, solutions, and instructor materials to make the content usable in classrooms or self-study. It emphasizes ethical considerations and model evaluation—accuracy is not the only metric—so students learn to validate and communicate results responsibly. By the end, participants can build end-to-end ML experiments, interpret outputs, and iterate with confidence rather than just copying code. -
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Little Book of Linear Algebra
A concise, beginner-friendly introduction to the core ideas of linear
...The exposition aims to sit between a pop-math summary and a heavy textbook: definitions and key theorems are stated cleanly, while proofs are sometimes omitted or sketched to keep the flow digestible. Because of its brevity and clarity, it's especially useful as a first pass for learners who want a solid map of the subject before diving into full textbooks. -
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crwlr
Library for Rapid (Web) Crawler and Scraper Development
This library provides kind of a framework and a lot of ready-to-use, so-called steps, that you can use as building blocks, to build your own crawlers and scrapers with. Before diving into the library, let's have a look at the terms crawling and scraping. For most real-world use cases, those two things go hand in hand, which is why this library helps with and combines both. A (web) crawler is a program that (down)loads documents and follows the links in it to load them as well. A crawler could just load actually all links it is finding (and is allowed to load according to the robots.txt file), then it would just load the whole internet (if the URL(s) it starts with are no dead end). ... -
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Top Deep Learning Projects
A list of popular github projects related to deep learning
TopDeepLearning is a curated index of the most popular GitHub projects related to deep learning, ranked by their star count. Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly... -
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Zero to Mastery Deep Learning TensorFlow
All course materials for the Zero to Mastery Deep Learning with TF
This project is a comprehensive, code-first deep learning curriculum built around TensorFlow and Keras, designed to guide learners from foundational concepts to practical model deployment through hands-on experimentation. It is structured as a series of progressively complex Jupyter notebooks that emphasize writing and understanding code before diving into theory, reinforcing learning through repetition and application. The material covers core machine learning workflows including regression, classification, computer vision, natural language processing, and time series forecasting, allowing users to build a well-rounded understanding of modern AI tasks. It also integrates milestone projects that simulate real-world scenarios, helping users translate abstract concepts into deployable solutions. -
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To Be Top Javaer
To Be Top Javaer - The Path to Becoming a Java Engineer
...It covers core Java concepts, JVM internals, multithreading, frameworks, databases, system design, and interview preparation. The repository is presented in a structured, progressive format so learners can follow along step by step while also diving into specific areas of interest. Its goal is to help developers not only strengthen their Java skills but also broaden their understanding of software engineering practices, distributed systems, and career development. With practical notes, explanations, and curated resources, it serves as both a study plan for self-learners and a long-term reference for working developers. -
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ml-surveys
Survey papers summarizing advances in deep learning, NLP, CV, graphs
The ml-surveys repository is a broad, maintainable overview of survey papers across many subfields of machine learning — including deep learning, NLP, computer vision, graph ML, reinforcement learning, recommendation systems, embeddings, meta-learning, and more. Instead of diving into code or experiments, this repo gathers authoritative survey and review articles, summarizing the state-of-the-art, trends, challenges, and directions within each subdomain. For someone trying to get up to speed with a new ML subfield — say graph neural networks or meta-learning — ml-surveys offers a curated reading list of foundational and recent works, helping map the landscape quickly. ... -
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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Machine Learning Glossary
Machine learning glossary
...Many pages include diagrams or code examples to illustrate how algorithms work in practice. Because the project emphasizes accessibility, it is particularly useful for beginners who want a conceptual overview of machine learning terminology before diving into more technical research papers. -
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MyPoorWebServer
Demonstrates fundamental HTTP server implementation principles
...It was originally developed as a resume project to demonstrate understanding of TCP/IP network programming, socket handling, and server lifecycle management, and so it reflects a hands-on approach to building server software from scratch rather than relying on frameworks. The project includes build instructions, example pages to host, and documentation encouraging readers to read reference texts before diving in. -
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Machine Learning Cheat Sheet
Classical equations and diagrams in machine learning
...Each section is presented concisely, often with diagrams, formula snippets, and short explanatory notes to serve as quick reference for students, practitioners, or interview prep. The repository is ideal for those who want a compact, at-a-glance reminder of ML fundamentals without diving back into textbooks. Because the cheat sheet is meant to be portable and broadly useful, it is format-friendly (often in Markdown, PDF, or image formats) and easy to include in learning workflow or slides. -
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JavaScript Array Explorer
A resource to figure out what JavaScript array method would be best
Array Explorer is an educational web-based resource created by Sarah Drasner to help developers understand and select the appropriate JavaScript array method (like map, filter, reduce, find, etc.) when they’re stuck wondering “which one should I use?” Instead of diving into endless docs, you can use the interactive tool to specify what you’re trying to accomplish—e.g., “remove items,” “transform items,” “find something,” “aggregate results”—then see which methods match and get live code examples. The tool provides visual examples, explanations of method semantics, and code snippets you can copy into your own project. ... -
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Fast Elixir
Writing Fast Elixir. Collect Common Elixir idioms
...By showcasing side-by-side examples, it highlights not only which approaches are faster but also why certain functions or techniques should be preferred in different scenarios. The repository is designed as a practical reference for developers who want to optimize Elixir applications without diving into premature micro-optimizations. Its goal is not just speed but also clarity, ensuring that performance improvements do not come at the cost of readability and maintainability. With continuously updated examples, Fast Elixir helps both beginners and experienced Elixir programmers adopt better habits and avoid slow patterns. -
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Probability Cheatsheet
A comprehensive 10-page probability cheatsheet
...It likely includes definitions of random variables, PMFs and PDFs, expectations, variance, common distributions (e.g. binomial, normal, Poisson, exponential), conditional probability, Bayes’ theorem, moment generating functions, and perhaps important inequalities (Markov, Chebyshev, Chernoff). The cheat sheet is intended as a quick reference for students, data scientists, statisticians, or anyone needing to recall core probability formulas without diving into textbooks. It may include visual diagrams (e.g. distributions’ shapes), tips or mnemonic notes, and examples of application (e.g. computing probabilities or expectations). Formats could include Markdown, PDF, or images for easy inclusion in study materials or slides. -
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nunuStudio
Web powered cross-platform 3D, WebXR game engine
...Because it is open source, users can inspect, modify, or extend the system as needed — adding custom behaviors, plugins, or export options. It’s ideal for rapid prototyping, small games or interactive demos, or educational purposes: you can build scenes, tweak visuals, test interactivity without deep diving into all low-level rendering details. -
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JDiveLog is a logbook for scuba diving written in Java. It manages all important dive data, as well as the pictures taken during the dive. Features include import of UDCF data, data from Suunto/Uwatec computers, profile generation, web page generator.
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React 360
Create amazing 360 and VR content using React
...It will alert you when it's out of date, and provide instruction on how to update it. Your application's code can be found in index.js, and you can learn more about available framework features by diving into our documentation. -
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bash-handbook
For those who wanna learn Bash
bash-handbook is a concise, practical guide written for people who want to learn Bash scripting and command-line usage without diving into overly academic or exhaustive references. The handbook is written in Markdown and covers fundamentals such as shell basics, variables, control structures, functions, working with files, and common utilities. Its goal is to provide enough knowledge to become productive in Bash, automate tasks, and understand scripts encountered in real projects, without overwhelming the reader. ... -
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ROP : Read origin protocol
ROP is a computational protocol to discover the source of all reads
...The ROP accounts for 98.8% of all reads across poly(A) and ribo-depletion protocols, compared to 83.8% by conventional reference-based protocols. ROP profiles repeats, circRNAs, gene fusions, trans-splicing events, recombined B/T-cell receptor sequences and microbial communities. The ‘dumpster diving’ profile of unmapped reads output by our method is not limited to RNA-Seq technology and may be applied to whole-exome and whole-genome sequencing. For more details see: https://sergheimangul.wordpress.com/rop/ ROP Tutorial: https://github.com/smangul1/rop/wiki -
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TextBlob
TextBlob is a Python library for processing textual data
Simple, Pythonic, text processing, Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both. Supports word inflection (pluralization and singularization) and lemmatization, as well as spelling correction. ... -
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Dive Log Book is a easy to use logbook for scuba diving. It makes possible to log basic dive data, notes with photos, weather conditions and provides simple statistics. Data can be exported into TXT document, PDF document and interactive HTML page.
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phpDivingLog is a set of PHP programs used to generate web pages which display the scuba diving logbook data exported as a MySQL file from the commercial desktop program Diving Log (www.divinglog.de).
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Gas Blender is a python program that helps the diver or the gas blender to calculate what is the correct procedure for mixing gases to be used in Technical Diving (Nitrox / Trimix).
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Diving programs to help the commercial diver and his/her supervisor. Based on USNavy tables the user will be able to plan a dive, execute a dive, and log it. Will also have diver aftercare (ie DDC tables). THIS IS A TRAINING TOOL ONLY, I DO NOT ACCEPT