Search Results for "rp2040-study-timer" - Page 2
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Showing 173 open source projects for "rp2040-study-timer"
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DevOps Exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git
DevOps Exercises is a massive, community-maintained collection of questions, tasks, and mini-challenges that cover the breadth of modern DevOps and platform engineering. It spans Linux, networking, Docker, Kubernetes, CI/CD, monitoring, cloud providers, security, and even soft skills and troubleshooting. The idea is to give candidates and teams a realistic practice ground for interviews, certifications, and day-to-day operational work. Because it’s structured as Q&A and exercises, you can go... -
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Hello SQL
Spanish-language course repository that teaches fundamentals of SQL
hello-sql is a beginner-friendly, Spanish-language course repository that teaches the fundamentals of SQL and relational databases through practical examples. It focuses mainly on MySQL for lessons due to its ubiquity in education and professional environments, while also introducing PostgreSQL to broaden learners’ exposure to modern database tooling. The materials emphasize real-world query writing, schema design basics, and the mental model behind SELECT, JOIN, GROUP BY, and subqueries.... -
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PPTAgent
PPTAgent: Generating and Evaluating Presentations
...The project includes both the generation agent and an evaluation framework, PPTEval, to score content quality, design, and coherence. The repository highlights the EMNLP 2025 paper and provides links to resources for replication and study. The approach reflects human presentation practice—plan, draft, then refine with edits—yielding more coherent decks than direct one-shot generation. Community interest and stars suggest strong uptake for research and tooling around presentation automation. -
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ML for Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
...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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Open Source Vizier
Python-based research interface for blackbox
...Defines abstractions and utilities for implementing new optimization algorithms for research and to be hosted in the service. A wide collection of objective functions and methods to benchmark and compare algorithms. Define a problem statement and study configuration. Setup a local server, setup a client to connect to the server, perform a typical tuning loop, and use other client APIs. -
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HelloGitHub
Share interesting, entry-level open source projects on GitHub
...Later, I plan to share these interesting and valuable open source projects with you. I ended up writing this website for easy viewing and sharing. Open source projects in various languages, tools to make life better, books, study notes, tutorials, and more. Through these projects, you will learn more programming knowledge, improve your programming skills, and discover the joy of programming. -
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Omnilingual ASR
Omnilingual ASR Open-Source Multilingual SpeechRecognition
...The repo is aimed at pushing practical multilingual ASR—robust to accents, code-switching, and domain shifts—rather than language-by-language systems. For practitioners, it’s a starting point to study transfer, zero-shot behavior, and trade-offs between model size, compute cost, and coverage. -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
homemade-machine-learning is a repository by Oleksii Trekhleb containing Python implementations of classic machine-learning algorithms done “from scratch”, meaning you don’t rely heavily on high-level libraries but instead write the logic yourself to deepen understanding. Each algorithm is accompanied by mathematical explanations, visualizations (often via Jupyter notebooks), and interactive demos so you can tweak parameters, data, and observe outcomes in real time. The purpose is... -
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PyTorch Geometric Temporal
Spatiotemporal Signal Processing with Neural Machine Learning Models
The library consists of various dynamic and temporal geometric deep learning, embedding, and Spatio-temporal regression methods from a variety of published research papers. Moreover, it comes with an easy-to-use dataset loader, train-test splitter and temporal snaphot iterator for dynamic and temporal graphs. The framework naturally provides GPU support. It also comes with a number of benchmark datasets from the epidemiological forecasting, sharing economy, energy production and web traffic... -
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Recommenders
Best practices on recommendation systems
...Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several state-of-the-art algorithms are included for self-study and customization in your own applications. Please see the setup guide for more details on setting up your machine locally, on a data science virtual machine (DSVM) or on Azure Databricks. Independent or incubating algorithms and utilities are candidates for the contrib folder. This will house contributions which may not easily fit into the core repository or need time to refactor or mature the code and add necessary tests. -
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The Grand Complete Data Science Guide
Data Science Guide With Videos And Materials
The Grand Complete Data Science Materials is a repository curated by a data-science educator that aggregates a wide range of learning resources — from basic programming and math foundation to advanced topics in machine learning, deep learning, natural language processing, computer vision, and deployment practices — into a structured, centralized collection aimed at learners seeking a comprehensive path to data science mastery. The repository bundles tutorials, lecture notes, project... -
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shuyuan
Reading book source
shuyuan is a project oriented around reading and knowledge consumption, especially targeting large-scale text content such as books, articles, or educational material. The name suggests “academy” or “study hall,” and the tool aims to help users ingest, organize, and manage reading content — possibly offering features like text parsing, annotation, metadata generation, translation, or storage for later reference. The repository is set up to support document ingestion, indexing, and maybe some AI-aided summarization or lookup functions, which helps users convert large text corpora into a structured, searchable knowledge base. ... -
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Python Zero to Hero for DevOps Engineers
Learn Python from DevOps Engineer point of you
Python Zero to Hero for DevOps Engineers is a structured “Python Zero to Hero for DevOps Engineers” course laid out as a day-by-day learning path. The repository is organized into Day-01 through Day-19 folders plus a small sample app, which makes it very easy to follow in sequence like a bootcamp. The curriculum starts with Python installation, environment setup, and writing your first script, then quickly moves into data types, strings, regular expressions, variables, and functions. It... -
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Trae Agent
LLM-based agent for general purpose software engineering tasks
...Under the hood, Trae Agent supports multiple LLM backends (so you can choose your preferred model provider), and comes with a modular architecture that makes it easy to study, extend, or modify. Because of its transparent, research-friendly design and detailed logging (trajectory recording), it is positioned not just as a productivity tool but also as a platform for researchers to explore, analyze, or extend AI-based code automation strategies. -
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GPT-2
Code for the paper Language Models are Unsupervised Multitask Learners
...The intent is to provide a starting point for researchers and engineers to experiment with GPT-2: generate text, fine‐tune on custom datasets, explore model behavior, or study its internal phenomena. The repository includes scripts for sampling, training, downloading pre-trained models, and utilities for tokenization and model handling. Support for memory-saving gradient techniques/optimizations during training. Sampling/generation scripts (conditional, unconditional, interactive). -
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This tool is used to delete temporary files. You can set a timer after which it will automatically delete the temporary files. You can also force the deletion of temporary files, but it will take a bit longer to complete the operation. Some files cannot be completely deleted, such as those used in real-time (for example, by browser extensions). The deleted temporary files can be both user files and Windows files (the Automatic Cleaning will delete both).
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Auto Windows Shutdown
Schedule automatic shutdown, logoff, or standby with a user-friendly a
Auto Shutdown PC is a user-friendly application designed to help users schedule automatic system actions such as shutdown, logoff, or standby at a specified time. The application is particularly useful for those who need to set their PC to perform these tasks after a certain period, making it ideal for energy saving, system maintenance, or simply for convenience. -
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relax
Molecular dynamics by NMR data analysis
The software package 'relax' is designed for the study of molecular dynamics through the analysis of experimental NMR data. Organic molecules, proteins, RNA, DNA, sugars, and other biomolecules are all supported. It supports exponential curve fitting for the calculation of the R1 and R2 relaxation rates, calculation of the NOE, reduced spectral density mapping, the Lipari and Szabo model-free analysis, study of domain motions via the N-state model and frame order dynamics theories using anisotropic NMR parameters such as RDCs and PCSs, the investigation of stereochemistry in dynamic ensembles, and the analysis of relaxation dispersion data. -
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Advanced Trigonometry Calculator
Precision Trigonometry: Advanced Calculator for Complex Math
Advanced Trigonometry Calculator is equipped with a user-friendly interface that allows for easy input of problems and instant computation. Professionals such as engineers who need to perform advanced trigonometric calculations in their work will find this tool extremely useful. ATC Online Alpha: https://advantrigoncalc.sourceforge.io/atc/ More info by clicking below: https://advantrigoncalc.sourceforge.io/ Advanced Trigonometry Calculator was only and always only developed by... -
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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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Mouse clicker Pro
op auto clicker but better
When I used OP Auto Clicker as good as it was, i always thought that app lacks some options, like the ability to hold the mouse buttons for a desired amount of time before releasing it, so I started making my own auto clicker from scratch based on OP auto clicker but with more options. 🐼 with this auto clicker you can easily achieve near 1000cps or the specific cps you desire with your own Hold time, click type, interval and location like OP auto clicker you may assign a new hotkey which by... -
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Ainee
Ainee - AI Notetaking and Learning Companion
...Experience smarter learning with Ainee today! How It Works - Effortless Knowledge Capture Across Formats - Enhance learning experience with AI-Driven Tools - Transform Study Materials into Dynamic Learning Formats - Share Insights and Knowledge Effortlessly -
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Flashcard App
This is an app that will help you learn and prosper in any subject!
A lightweight but effective Flashcard based learning app to study and memorize using a reward system, built using python and the customtkinter library. Here you can create flashcards and quiz yourself on any topic you like, save the flashcards for later use or simply import one with the correct format. Give yourself hints, earn points and have fun! Play quiz with your friends see who gets the most points. -
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Coconut Catch
Catch coconuts, level up and quench your thirst this summer!
Dive into the tropical fun with Coconut Catch, the exciting game where you catch coconuts with your basket as they fall from the trees. Using the left and right arrow keys, you control the basket to catch as many coconuts as possible. Catch as many coconuts as you can within the time gets over and move through all the levels, and enjoy the virtual refreshment of coconut water at the end of each level. -
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GPT-2 Output Dataset
Dataset of GPT-2 outputs for research in detection, biases, and more
The GPT-2 Output Dataset is a large collection of model-generated text, released by OpenAI alongside the GPT-2 research paper to study the behaviors and limitations of large language models. It contains 250,000 samples of GPT-2 outputs, generated with different sampling strategies such as top-k truncation, to highlight the diversity and quality of model completions. The dataset also includes corresponding human-written text for comparison, enabling researchers to explore methods for distinguishing machine-generated content from human-authored text. ...
