Search Results for "source code computer" - Page 74
Sort By:
7426 projects for "source code computer" with 1 filter applied:
-
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.
-
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.
-
1
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. ... -
2
Real Time Rendering 4th
Collection of <Real-Time Rendering 4th (RTR4)> Bibliography
The Real Time Rendering 4th Bibliography Collection project is an extensive curated bibliography that complements the fourth edition of the Real-Time Rendering book. It aggregates research papers, articles, and references related to computer graphics and real-time rendering techniques. The collection is organized by topic, allowing users to explore areas such as lighting, shading, geometry, and rendering pipelines. It serves as a valuable reference for students, researchers, and... -
3
Machine Learning & Deep Learning
machine learning and deep learning tutorials, articles
Machine Learning & Deep Learning Tutorials is an open-source repository that provides practical tutorials demonstrating how to implement machine learning and deep learning models using popular frameworks such as TensorFlow and PyTorch. The project focuses on helping learners understand machine learning through hands-on coding examples rather than purely theoretical explanations. Each tutorial walks through the process of building and training models for tasks such as image classification, neural network training, and computer vision applications. ... -
4
YOLOR
implementation of paper - You Only Learn One Representation
...It builds on the YOLO family and related PyTorch detection work, combining practical detector training with a research idea about unified representations. YOLOR includes model configurations, training code, evaluation scripts, inference tools, and pretrained weights. 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. -
Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
-
5
Decompose Kotlin
Kotlin Multiplatform lifecycle-aware business logic components
Decompose is a Kotlin Multiplatform library for breaking down your code into lifecycle-aware business logic components (aka BLoC), with routing functionality and pluggable UI (Compose, Android Views, SwiftUI, Kotlin/React, etc.). -
6
Softsqueeze
A java implementation of the Squeezebox
"Squeezebox is the smartest way to stream MP3s and Internet radio to your stereo without loss of sound quality." (Slim Devices) SoftSqueeze is a java software implementation of the Squeezebox allowing your PC to stream the same music as your Squeezebox. The source code for Softsqueeze is now on github. https://github.com/ralph-irving/softsqueeze3 The sourceforge cvs repository marked as read-only. -
7
Pretty-Error
See node.js errors with less clutter
pretty-error is a Node.js library that renders JavaScript error messages in a cleaner, more readable, and visually styled format to make debugging easier. PrettyError turns error objects into something similar to an html document, and then uses RenderKid to render the document using simple html/css-like commands. This allows PrettyError to be themed using simple css-like declarations. There are a few methods to help you customize the contents of your error logs. You can customize which trace... -
8
Kotless
Kotlin Serverless Framework
Kotless stands for Kotlin serverless framework. Its focus lies in reducing the routine of serverless deployment creation by generating it straight from the code of the application itself. So, simply speaking, Kotless gives you one magic button to deploy your Web application as a serverless application on AWS and Azure. Kotless is able to deploy existing Spring Boot or Ktor applications to AWS serverless platform. To do it, you'll need to set up a plugin and replace the existing dependency... -
9
code-review-tips
Common problems to look for in a code review
code-review-tips is a concise, actionable set of heuristics to improve the quality and consistency of software code reviews. While examples are written in JavaScript, the advice generalizes to most languages and frameworks. The tips focus on spotting common pitfalls—naming ambiguity, hidden complexity, missing tests, leaky abstractions, performance traps, and security footguns—before they reach production. The guide is designed to be skimmed during review, turning tribal knowledge into a... -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
10
pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks
...It reproduces the influential FCN approach that converts classification networks into dense, pixel-level predictors. The package includes FCN32s, FCN16s, FCN8s, and FCN8s-at-once variants with progressively finer output reconstruction. Training code and a PASCAL VOC example are provided so users can reproduce baseline experiments. The repository reports mean intersection-over-union results alongside the original implementation for comparison. Pretrained model links and validation visualizations support evaluation and demonstrations. It can be installed from source or through the torchfcn package and is primarily useful for research, education, and legacy segmentation baselines. -
11
sirius signing server
Centralized signing and verification
Sirius-Sign is a signing and verification server with it's focus on high throughput and easy integration into an existinig landscape. For signature creation smartcards with OCF and PKCS11 interfaces are supported. An EJB container is required. -
12
JDynamiTe, Dynamic Template in Java
Dynamically generate documents from templates
JDynamiTe is a tool which allows you to dynamically create documents in any format from "template" documents. And very few lines of code (or no line at all!) are needed to do that. Some typical usage domains of JDynamiTe are: - dynamic Web pages creation, - text document generation, - source code generation... In fact, it can be useful in any case where pre-defined documents (templates) have to be dynamically populated with data. The main benefit of JDynamiTe is to allow a true separation between data (content), presentation (container) and content generation code (written in Java). ... -
13
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... -
14
vim-surround
Delete/change/add parentheses/quotes/XML-tags/much more with ease
vim-surround is a deceptively small plugin that makes editing “surroundings” (quotes, brackets, tags, and more) feel natural and instantaneous. It turns the repetitive chores of adding, changing, or deleting delimiters into short, mnemonic commands that work with normal Vim text objects. The key insight is that surroundings are structural: once Vim understands the bounds, operations become predictable and composable with your existing motions. The plugin handles common cases like quotes and... -
15
CameraVoyeur
Windows-oriented utility to log frames from a connected camera devices
...The project shows how to access the camera stream, keep it running, and expose the captured output for later use or display. Because it’s in a regular GitHub repo and not a closed binary, you can inspect the code to see how device selection, frame acquisition, and UI/display are wired. This makes it useful for developers who want to add camera capture to a Windows tool or who need a barebones sample to build surveillance, monitoring, or computer vision toys on top of. Its value is really in being a simple, readable reference rather than a big camera suite. -
16
Stinger
Stinger is a high-efficiency library with great compatibility
Stinger is a high-performance, library-based AOP (Aspect-Oriented Programming) framework for Objective-C. It allows developers to inject code dynamically into existing methods without modifying the original codebase. -
17
External Compare - Eclipse Plugin
Launch an external diff tool like WinMerge in Eclipse
Eclipse comes with an internal diff / compare editor, but if you prefer a third-party one, this plugin opens an external merge or diff tool for you. After you open two versions of a file in the internal eclipse compare editor, this plugin either opens an external diff tool automatically or you can choose that this plugin opens the external diff tool after you press a button in the toolbar of the internal compare editor. Furthermore the plugin can (optional) format java code before the... -
18
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. -
19
Fecshop (Yii2 Fecshop)
yii2 (PHP) fecmal (fecshop) core code used for ecommerce shop
Yii2 Fecshop is an open-source e-commerce application built on the Yii2 framework. It is designed to provide a complete solution for building scalable and customizable online stores. Fecshop offers features like multi-language support, multi-currency options, SEO optimization, and integration with third-party payment gateways. The modular architecture makes it flexible, allowing developers to extend and customize the store as needed. -
20
HostDesigner
General purpose de novo molecular design software
...Download includes User's Manual, HostDesigner 4.3 source code (in Fortran), data files, example input, HDViewer executables for MacOS, Linux, and Windows, and mengine source code (in C). HostDesigner was developed and posted by author Dr. Benjamin P Hay -
21
Nim Game Library
NimGL is a Nim library that offers bindings for popular libraries
NimGL (Nim Game Library) is a collection of bindings for popular libraries, mostly used in computer graphics. A library of libraries. This collection of bindings is heavily inspired by LWJGL3. It enables low-level access and it is not a framework, so we highly encourage you to use a game engine if you do not have experience in working with low-level graphics development. These bindings contain several optional helper procedures to help with development and to better suit it to the language. -
22
Splitties
A collection of hand-crafted extensions for your Kotlin projects
Splitties is a collection of small Kotlin multiplatform libraries (with Android as first target). These libraries are intended to reduce the amount of code you have to write, freeing code reading and writing time, so you can focus more on what you want to build for your users (even if you're the only one), or have more time to have fun. This project is named "Splitties" because it is split in small modules, distributed as independent libraries, so you can add only the ones you need to your... -
23
Awfice
The world smallest office suite
Awfice is an experimental office suite made from extremely small browser applications written in plain JavaScript. It includes a rich-text editor, spreadsheet, drawing canvas, and presentation maker. Every main tool is under one kilobyte and is compressed into a single line of code. The applications can run directly from data URLs, bookmarks, or saved HTML files without installation. They work offline and intentionally avoid persistent storage, so refreshing the page erases the current... -
24
restless
A lightweight REST miniframework for Python
...The main Resource class has data methods (that you implement) for all the main RESTful actions. It also uses HTTP status codes as correctly as possible. Restless is BYOD (bring your own data) and hence, works with almost any ORM/data source. If you can import a module to work with the data & can represent it as JSON, Restless can work with it. Restless is small & easy to keep in your head. Common usages involve overriding just a few easily remembered method names. Total source code is an under a thousand lines of code. -
25
CAM
Class Activation Mapping
This repository implements Class Activation Mapping (CAM), a technique to expose the implicit attention of convolutional neural networks by generating heatmaps that highlight the most discriminative image regions influencing a network’s class prediction. The method involves modifying a CNN model slightly (e.g., using global average pooling before the final layer) to produce a weighted combination of feature maps as the class activation map. Integration with existing CNNs (with light...
