Search Results for "learn study" - Page 2
Sort By:
Showing 64 open source projects for "learn study"
View related business solutions-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
Compliant and Reliable File Transfers Backed by Top Security CertificationsStop relying on non-certified, legacy file transfer tools that creak under the weight of modern security demands. Get full audit trails, advanced access controls and more supported by an award-winning team of experts. Start your free 25-day trial today.
-
1
StudXY --> CramX
AI-Powered Study Suite for Smarter Learning & Better Grades
CramX is an all-in-one AI-powered study suite designed to help students learn faster, write better, and score higher. It combines advanced AI tools for essay writing, homework help, plagiarism checking, flashcard generation, and test preparation — all within a clean, distraction-free interface. ✍️ AI Writer – Create essays and research papers with real citations. 🧮 AI Homework Helper – Get step-by-step problem solutions -
2
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. Here almost anything is customizable. And forgive me if there are any bugs as there... -
3
applied-ml
Papers & tech blogs by companies sharing their work on data science
The applied-ml repository is a rich, curated collection of papers, technical articles, and case-study blog posts about how machine learning (ML) and data-driven systems are applied in real production environments by major companies. Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. -
4
Nightingale OS
A small operating system where I experiment and learn osdev
nightingale is a modern hobby operating system developed in Rust, focusing on safety, simplicity, and minimalism. It aims to be a clean platform for experimentation and learning, implementing a small kernel with core features like multitasking, memory protection, and a minimal filesystem. Its use of Rust provides strong guarantees around memory safety and eliminates common bugs found in low-level C-based systems. nightingale is ideal for those seeking to study OS development using a modern... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
5
EJE (Everyone's Java Editor)
Learn Java the easy way!
EJE is a simple Java editor, perfect to learn Java, without learning a complex development tool. EJE is multi-platform (written in Java), light- weight, user-friendly and have several useful basic features. A good help to start with Java! Supports the study of the Java for Aliens book (www.javaforaliens.com), or other my books (Italian Language) like www.nuovojava.it. You don't need to install the JDK anymore (the runtime is embedded). -
6
Laravel Learning Path
The ordered list of Laravel topics to learn, step-by-step
Laravel Roadmap Learning Path is a structured learning guide for developers who want to grow from beginner to more advanced Laravel work. It organizes Laravel topics by experience level so learners can understand what to study first and what to approach later. The roadmap includes links to official documentation, videos, articles, and courses for each topic. It is useful for self-taught developers who want direction instead of jumping randomly between tutorials. It also helps teams define... -
7
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... -
8
.... - Learn about collaborative workflow in an open-source project, including the use of version control systems (VCS) like Git and collaboration platforms like GitHub or GitLab.
-
9
ComfyUI Experiments
Some experimental custom nodes
ComfyUI_experiments is a playground repo for trying out new, sometimes unstable ideas in the ComfyUI ecosystem before they graduate into more official nodes or workflows. It’s where experimental nodes, pipelines, or integrations can live without breaking users’ main installations. The project is aimed at power users and contributors who want to see “what’s possible” with ComfyUI beyond the stable set of features. Because it is exploratory, the code may change often, rely on specific... -
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.
-
10
Self-learning-Computer-Science
Resources to learn computer science in your spare time
Self-learning Computer Science is a curated, open-source guide repository designed to help learners independently study computer science topics using high-quality university-level resources. The author (an undergraduate CS student) assembled links to courses from institutions like MIT, UC Berkeley, Stanford, etc., covering mathematics, programming, data structures/algorithms, computer architecture, machine learning, software engineering and more. It’s aimed at learners who find traditional... -
11
learn-machine-learning-in-two-months
Essential Knowledge for learning Machine Learning in two months
The learn-machine-learning-in-two-months repository is an educational open-source project designed to guide beginners through the process of learning machine learning and deep learning concepts within a structured two-month study plan. The project compiles curated resources, tutorials, and practical notebooks that introduce fundamental topics such as mathematics for machine learning, Python programming, and essential libraries like NumPy and TensorFlow. -
12
System Design Notebook
Learn System Design step by step
System Design Notebook is a structured, personal knowledge base for learning and practicing system design, written in a way that mirrors real interview and on-the-job thinking. Instead of being a single long article, it’s split into topics like scalability, load balancing, data partitioning, caching, availability, consistency, and communication patterns, so you can study them in isolation. It emphasizes reasoning: why you pick a certain database, why you shard, why you put a queue, and what... -
13
Brain Tokyo Workshop
Experiments and code from Google Brain’s Tokyo research workshop
The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. The... -
14
IoT Technical Guide
IoT Technical Guide - Building a High-Performance IoT Platform
...The guide covers topics such as IoT market context, device models, ThingsBoard source-code learning, MQTT broker setup, CoAP services, message peak shaving, data modeling, and database selection. It is intended for developers who want to learn how real IoT platforms organize devices, messages, protocols, and backend services. The repository is especially useful as a structured study path for readers preparing to build or customize an IoT platform. It functions more as a technical tutorial and roadmap than as a single installable software package. -
15
Deep Learning Papers Reading Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn
Deep Learning Papers Reading Roadmap is a widely known curated reading plan for deep learning that helps newcomers and practitioners navigate the vast literature in a structured and intentional way. It is built around several guiding principles: moving from outline to detail, from older foundational papers to state-of-the-art work, and from generic to more specialized areas while keeping a focus on impactful contributions. The roadmap organizes papers into categories such as fundamentals,... -
16
English Grammar Notes
Learn English grammar from 0
English Grammar Notes is a community-driven learning resource project aimed at helping learners master English grammar from the ground up through clear explanations, practice examples, and progressive note structure that breaks down complex rules into accessible segments. The repository combines educational content written in simplified English and Chinese alongside structured markdown pages that cover parts of speech, sentence structure, tenses, clauses, and other core grammar topics,... -
17
Deep-Learning-with-TensorFlow-book
Open source Deep Learning book, based on TensorFlow
Deep-Learning-with-TensorFlow-book is an open-source deep learning book based on TensorFlow 2.0. It combines theory with practical examples, making it suitable for beginners who want to learn deep learning through hands-on code. The repository includes the PDF book, companion source code, course slides, and notebook-style materials. It covers core machine learning and deep learning concepts through TensorFlow-based implementation. The project also supports educational use, with materials... -
18
Awesome AI-ML-DL
Awesome Artificial Intelligence, Machine Learning and Deep Learning
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics. This repo is dedicated to engineers, developers, data scientists and all other professions that take interest in AI, ML, DL and related sciences. To make learning interesting and to create a place to easily find all the necessary material. Please contribute, watch, star, fork and share the repo with others in your community. -
19
Deep Learning cheatsheets
VIP cheatsheets for Stanford's CS 230 Deep Learning
Deep Learning cheatsheets forStanford's CS 230 is an educational repository that compiles comprehensive cheat sheets, summaries, and study resources covering the core concepts taught in Stanford’s CS230 Deep Learning course. The project organizes complex machine learning topics into visually structured reference materials that simplify studying neural networks, convolutional architectures, recurrent networks, optimization strategies, and training methodologies. It was created to help... -
20
interactive-coding-challenges
120+ interactive Python coding interview challenges
...The structure encourages incremental improvement—start with a brute-force idea, then refine to optimal time and space complexity. It serves both as a self-study path and as a warm-up bank for interview prep or coding katas. -
21
Flutter Dojo
A beautiful design and useful project
Flutter Dojo is an educational and practical Flutter UI project that provides a large collection of demo screens, layouts, and component examples designed to help developers learn and experiment with Flutter’s capabilities. Rather than being a traditional component library, it acts as a showcase and playground where developers can explore different UI patterns, animations, and design implementations within a single project. The repository includes numerous real-world interface examples, allowing developers to study how complex layouts and interactions are structured in Flutter applications. ... -
22
Spinning Up in Deep RL
Educational resource to help anyone learn deep reinforcement learning
...To ensure that AI is safe, we have to come up with safety strategies and algorithms that are compatible with this paradigm. As a result, we encourage everyone who asks this question to study these fields. However, while there are many resources to help people quickly ramp up on deep learning, deep reinforcement learning is more challenging to break into. -
23
Python Machine Learning
The "Python Machine Learning (2nd edition)" book code repository
This repository accompanies the well-known textbook “Python Machine Learning, 2nd Edition” by Sebastian Raschka and Vahid Mirjalili, serving as a complete codebase of examples, notebooks, scripts and supporting materials for the book. It covers a wide range of topics including supervised learning, unsupervised learning, dimensionality reduction, model evaluation, deep learning with TensorFlow, and embedding models into web apps. Each chapter has Jupyter notebooks and Python scripts that... -
24
AI Cheatsheets
Essential Cheat Sheets for deep learning and machine learning research
...The project aims to provide quick-reference materials that help engineers, researchers, and students review key techniques and frameworks without reading extensive documentation. It compiles cheat sheets for widely used libraries and technologies such as TensorFlow, Keras, NumPy, Pandas, Scikit-learn, Matplotlib, and PySpark. These materials summarize common functions, workflows, and best practices in a concise visual format that makes them easy to consult during development or study sessions. The repository functions as a centralized library where users can quickly access reference materials for both machine learning theory and practical programming tools. ... -
25
data-science-ipython-notebooks
Data science Python notebooks: Deep learning
Data Science IPython Notebooks is a broad, curated set of Jupyter notebooks covering Python, data wrangling, visualization, machine learning, deep learning, and big data tools. It aims to be a practical map of the ecosystem, showing hands-on examples with libraries such as NumPy, pandas, matplotlib, scikit-learn, and others. Many notebooks introduce concepts step by step, then apply them to real datasets so readers can see techniques in action. Advanced sections touch on neural networks and distributed computing topics, helping you bridge from basics to production-adjacent workflows. The collection is suitable for self-paced study, quick reference, or as teaching materials in workshops. ...