Search Results for "learning" - Page 24
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Showing 1132 open source projects for "learning"
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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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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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SageMaker Scikit-Learn Extension
A library of additional estimators and SageMaker tools based on scikit
...This project contains standalone scikit-learn estimators and additional tools to support SageMaker Autopilot. Many of the additional estimators are based on existing scikit-learn estimators. SageMaker Scikit-Learn Extension is a Python module for machine learning built on top of scikit-learn. In order to use the I/O functionalies in the sagemaker_sklearn_extension.externals module, you will also need to install the mlio version 0.7 package via conda. The mlio package is only available through conda at the moment. You can also install from source by cloning this repository and running a pip install command in the root directory of the repository. ... -
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Introduction to Vue.js 3 Course
Workshop Materials for my Introduction to Vue.js Workshop
...Since the course was updated for Vue 3, the repo includes directories for both Vue 2 and Vue 3 resources, enabling learners to explore both versions depending on their work context. Also included are build setups (Vue CLI, Nuxt) and additional sections on animation and advanced topics like custom directives, making it a full learning path rather than just a quick tutorial. The README lists slide sets, exercise folders, solution folders and recommended tooling so that learners can clone the repo and follow along in their own time. -
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FACIL.IO
Your high performance web application C framework
facil.io is an evented Network library written in C. facil.io provides high performance TCP/IP network services by using an evented design that was tested to provide an easy solution to the C10K problem. facil.io includes a mini-framework for Web Applications, with a fast HTTP / WebSocket server, integrated Pub/Sub, optional Redis connectivity, easy JSON handling, Mustache template rendering and more nifty tidbits. facil.io powers the HTTP/Websockets Ruby Iodine server and it can easily power your application as well. facil.io is easy to code with and aims at minimizing the developer's learning curve. In addition to detailed documentation and examples, the API is unified in style and the same types and API used for HTTP requests is used for JSON and Mustache rendering - so there's less to learn. facil.io should work on Linux / BSD / macOS (and possibly CYGWIN) and is continuously tested on both Linux and macOS. -
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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 example notebooks. ... -
$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.
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history
Manage session history with JavaScript
...However, since master is always stable, you should feel free to build your own working release straight from master at any time. history is developed and maintained by React Training. If you're interested in learning more about what React can do for your company, please get in touch! -
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Graph4NLP
Graph4nlp is the library for the easy use of Graph Neural Networks
Graph4NLP is an easy-to-use library for R&D at the intersection of Deep Learning on Graphs and Natural Language Processing (i.e., DLG4NLP). It provides both full implementations of state-of-the-art models for data scientists and also flexible interfaces to build customized models for researchers and developers with whole-pipeline support. Built upon highly-optimized runtime libraries including DGL , Graph4NLP has both high running efficiency and great extensibility. -
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MACE
Deep learning inference framework optimized for mobile platforms
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. -
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90DaysOfDevOps
The journey towards a better foundational knowledge of DevOps
...The goal is to take 90 days, 1 hour a day, to tackle over 13 areas of DevOps to foundational knowledge. This will not cover all things DevOps but it will cover the areas that I feel will benefit my learning and understanding overall. What is and why do we use DevOps. Learning a Programming Language. Knowing Linux Basics. Understand Networking. Stick to one Cloud Provider. Use Git Effectively. Automate Configuration Management. Learn Infrastructure as Code. And much more! -
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WebPayXT2022
Educational payroll Web APP, and PDF book, for learning PHP/MySQL
This is a working educational payroll program, and PDF book, for learning payroll and PHP/MySQL. It is a web app, written in PHP/MySQL. The webapp is for a small business, with 1-15 employees. It should give you practice in learning payroll, installing on the web, PHP and MySQL. The WebPay App calculates payroll, and produces reports for tax and accounting purposes. New features for 2022 include this years Tax Percentages, and ability to print W2 forms at year end. ... -
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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go-study-index
Go language learning materials index
go-study-index is a comprehensive, community-maintained index of Go learning resources and communities, primarily oriented toward Chinese-speaking developers. It was created because a previous index of resources had gone out of date for over three years, and the author wanted a fresher, living catalog that others could update via fork and pull request. The README is structured into sections for communities, navigation sites, learning materials, tools, cloud platforms, newsletters, videos, and even job resources. ... -
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Interpret-Text
State-of-the-art explainers for text-based machine learning models
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard. Interpret-Text builds on Interpret, an open source python package for training interpretable models and helping to explain blackbox machine learning systems. We have added extensions to support text models. Interpret-Text incorporates community-developed interpretability techniques for NLP models and a visualization dashboard to view the results. ... -
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vue2-happyfri
Learning-oriented app that recreates a mobile food-ordering experience
vue2-happyfri is a learning-oriented Vue 2 application that recreates a mobile food-ordering experience to demonstrate how to structure a real-world single-page app. It shows how to compose UI from reusable components, wire up routing between views, and manage shared state for carts, users, and menus. The project emphasizes responsive, touch-friendly interactions and small polish details—like transitions, toasts, and loading states—that make the app feel production-ready. -
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codeforces-go
Solutions to Codeforces by Go
Golang algorithm competition template library. Due to the complexity of algorithm knowledge points, it is necessary to classify the algorithms you have learned and the questions you have done. An algorithm template should cover the following points. Basic introduction to the algorithm (core idea, complexity, etc.) Reference links or book chapters (good material) Template code (can contain some comments, usage instructions) Template supplements (extra codes in common question types, modeling... -
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SVoice (Speech Voice Separation)
We provide a PyTorch implementation of the paper Voice Separation
SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple computational steps, while maintaining speaker consistency across output channels. ... -
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TensorFlow Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples is a comprehensive repository of example implementations, tutorials, and reference code intended to help newcomers and intermediate learners dive into TensorFlow quickly. It contains both Jupyter notebooks and raw source code, covering a broad range of tasks: from basic machine-learning and neural-network models to more advanced use cases, using both TensorFlow v1 and v2 APIs. For clarity and educational value, each example is accompanied by explanatory comments or markdown cells to illustrate what the code does and why — a design that makes it especially suitable for self-learners or students following along with real data. ... -
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Detectron2
Next-generation platform for object detection and segmentation
Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark. It is powered by the PyTorch deep learning framework. Includes more features such as panoptic segmentation, Densepose, Cascade R-CNN, rotated bounding boxes, PointRend, DeepLab, etc. Can be used as a library to support different projects on top of it. We'll open source more research projects in this way. It trains much faster. Models can be exported to TorchScript format or Caffe2 format for deployment. ... -
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Advanced CSS Course
Starter files, final projects and FAQ for my Advanced CSS course
...The repository focuses on modern CSS techniques such as Sass, responsive layouts, animations, Flexbox, CSS Grid, and reusable design patterns. It also includes downloadable course slides, making it easier to follow the theory portions alongside the hands-on projects. The code is meant for learning rather than production reuse, but it provides clear examples of how advanced CSS concepts are applied in real interfaces. It is best suited for students who already know basic HTML and CSS and want to move into polished, professional frontend styling. -
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Game-Programmer-Study-Notes
A collection of reading notes from my career as a game programmer
...The content is often supplemented with diagrams, examples, and explanations that clarify complex topics. By consolidating resources into a single repository, it reduces the need to search across multiple sources. Overall, it serves as a valuable learning hub for mastering game development concepts. -
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TorchGAN
Research Framework for easy and efficient training of GANs
The torchgan package consists of various generative adversarial networks and utilities that have been found useful in training them. This package provides an easy-to-use API which can be used to train popular GANs as well as develop newer variants. The core idea behind this project is to facilitate easy and rapid generative adversarial model research. TorchGAN is a Pytorch-based framework for designing and developing Generative Adversarial Networks. This framework has been designed to... -
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useful-custom-react-hooks
This project was bootstrapped with Create React App
useful-custom-react-hooks is a React learning project that demonstrates a broad collection of reusable custom hooks. It is built as a Create React App project and organizes each hook into its own component example. The repository covers common UI, browser, state, timing, storage, network, and interaction patterns that React developers often rebuild across projects. It includes hooks for toggling state, debouncing values, tracking previous values, managing arrays, storing data, fetching resources, loading scripts, and reacting to browser events. ... -
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YOLOR
implementation of paper - You Only Learn One Representation
...Its central contribution is the use of implicit knowledge to improve network performance without treating every task as fully separate. It is useful for computer vision researchers and developers studying YOLO-style detectors, representation learning, and high-performance detection systems. -
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Pythonidae
Curated decibans of scientific programming resources in Python
Pythonidae is a curated collection of scientific programming resources in Python, designed to support research and development across a wide range of disciplines. The repository organizes tools and libraries into domain-specific categories, including mathematics, statistics, machine learning, artificial intelligence, biology, chemistry, physics, earth sciences, and supercomputing. It also covers practical areas such as build automation, databases, APIs, computer graphics, and utilities, offering a structured reference for both academic and applied work. While the primary focus is on Python, some entries also highlight resources implemented in other languages like Julia, R, Go, and Java. ... -
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vim-surround
Delete/change/add parentheses/quotes/XML-tags/much more with ease
...The plugin handles common cases like quotes and parentheses as well as HTML/XML tags, making it equally useful in prose and code. Because the commands are orthogonal to movements, you can target words, sentences, or visual selections without learning new modes. Over time, vim-surround becomes muscle memory, reducing cognitive load and helping you keep your hands on the keyboard during structural edits. -
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TensorRT Pro
C++ library based on tensorrt integration
High-level interface for C++/Python. Simplify the implementation of the custom plugin. And serialization and deserialization have been encapsulated for easier usage. Simplify the compilation of fp32, fp16 and int8 for facilitating the deployment with C++/Python in server or embedded device. Models ready for use also with examples are RetinaFace, Scrfd, YoloV5, YoloX, Arcface, AlphaPose, CenterNet and DeepSORT(C++). -
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TensorNetwork
A library for easy and efficient manipulation of tensor networks
TensorNetwork is a high-level library for building and contracting tensor networks—graphical factorizations of large tensors that underpin many algorithms in physics and machine learning. It abstracts networks as nodes and edges, then compiles efficient contraction orders across multiple numeric backends so users can focus on model structure rather than index bookkeeping. Common network families (MPS/TT, PEPS, MERA, tree networks) are expressed with concise APIs that encourage experimentation and comparison. The library provides automatic path finding and cost estimation, exposing when contractions will explode in memory and suggesting better orders. ...